This dataset represents all current and historical City of Bend planning applications since 1993. Applications are generated using tax lot data from the time of submission combined with application attributes derived from City of Bend permitting software. Please note data is updated nightly and subject to change as applications are received and reviewed.Attribute Information: Field Name Description

OBJECTID For internal use.

GNMasterProjectID For internal use.

GNCommonID For internal use.

PL_RecordID For internal use.

ApplicationNumber The tracking number for this application in the City of Bend permitting system.

ApplicationDate Date application was submitted.

ApplicationDescription Short description of application.

ProjectTypeCode The generalized project type code by category such as Land Division, Short-Term-Rental, or Site Plan Review.

ProjectTypeDesc The generalized project type description by category such as Land Division, Short-Term-Rental, or Site Plan Review.

ApplicationTypeCode The specific application type code by category such as Partition or Lot Line Adjustment, Type 1 or Type 2 Short-Term Rental, or Site Plan Review - New Development.

ApplicationTypeDesc The specific application type description by category such as Partition or Lot Line Adjustment, Type 1 or Type 2 Short-Term Rental, or Site Plan Review - New Development.

AppTypeUKID For internal use.

AppStatus The current status code for the application. Updated nightly.

AppStatusDesc The current status description for the application. Updated nightly.

AppReviewType The land use review type code.

AppReviewDesc The land use review type description.

AssignedPlanner The assigned City of Bend planner.

Address The site address for the application (Please note if a project includes multiple addresses, only one is visible in this field).

SITADDID For internal use.

TAXLOT The tax lot for the application (Please note if a project includes multiple tax lots, only one is visible in this field).

GlobalID For internal use.

CREATEDBY For internal use.

CREATEDDATE For internal use.

UPDATEDBY For internal use.

LASTUPDATE For internal use.

OverallStatus For internal use.

Units Number of units proposed.

DateDeemedComplete Date application was deemed complete for review.

DaysOnHold Days application was on hold.

DecisonDate Date that the land use decision was issued.

ExpirationDate Date that the land use decision expires.

Shape_Area For internal use.

Shape_Length For internal use. For questions regarding planning applications, please visit The City of Bend Online Permit Centeror call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.

This research paper presents the design and development of an indigenous low cost Mobile Mapping System (MMS) for urban surveying applications. The MMS is comprised of economical Hokuyo-30LX 2D laser scanners, vision sensors, Global Positioning System (GPS) and various odometric sensors that can be installed on car like moving platform. The run time sensorial data is interfaced, processed and recorded using Robot Operating System (ROS). The live laser scan is utilized for the pose estimation using Simultaneous Localization and Mapping (SLAM) technique. In absence of valid SLAM estimation and frequent GPS outages, a multimodal sensor fusion framework for the enhanced pose correction has been developed using Kalman Filter (KF) by incorporating the Inertial Measurement Unit (IMU) and wheel odometric data along with SLAM and GPS data. The corrected pose is utilized for the 3D point cloud mapping by incorporating laser scans perceived periodically from various 2D laser scanners mounted on the MMS. The custom-made installation scheme has been followed for mounting three 2D laser scanners at horizontal, vertical and inclined orientations. The efficacy of the developed map has employed for extraction of road edges and associated road assets by establishing the lucrative classification technique of the point cloud using Split and Merge segmentation and Hough transformation. The surveying to map development time has significantly reduced and the mapping results have found quite accurate when matched with the ground truths. Furthermore, the comparison of the developed maps with ground truths and GIS tools reveals the highly acceptable accuracy of the generated results which have found very nearly aligned with the actual urban environment features. In comparison to the existing global MMS variants, the presented MMS is quite affordable solution for limited financial resourced business entities.

This is the authors’ version of the work. It is based on a poster presented at the Wageningen Conference on Applied Soil Science, http://www.wageningensoilmeeting.wur.nl/UK/ Cite as: Bosco, C., de Rigo, D., Dewitte, O., Montanarella, L., 2011. Towards the reproducibility in soil erosion modeling: a new Pan-European soil erosion map. Wageningen Conference on Applied Soil Science “Soil Science in a Changing World”, 18 - 22 September 2011, Wageningen, The Netherlands. Author’s version DOI:10.6084/m9.figshare.936872 arXiv:1402.3847

Towards the reproducibility in soil erosion modeling:a new Pan-European soil erosion map

Claudio Bosco ¹, Daniele de Rigo ¹ ² , Olivier Dewitte ¹, Luca Montanarella ¹ ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,Via E. Fermi 2749, I-21027 Ispra (VA), Italy² Politecnico di Milano, Dipartimento di Elettronica e Informazione,Via Ponzio 34/5, I-20133 Milano, Italy

Soil erosion by water is a widespread phenomenon throughout Europe and has the potentiality, with his on-site and off-site effects, to affect water quality, food security and floods. Despite the implementation of numerous and different models for estimating soil erosion by water in Europe, there is still a lack of harmonization of assessment methodologies. Often, different approaches result in soil erosion rates significantly different. Even when the same model is applied to the same region the results may differ. This can be due to the way the model is implemented (i.e. with the selection of different algorithms when available) and/or to the use of datasets having different resolution or accuracy. Scientific computation is emerging as one of the central topic of the scientific method, for overcoming these problems there is thus the necessity to develop reproducible computational method where codes and data are available. The present study illustrates this approach. Using only public available datasets, we applied the Revised Universal Soil loss Equation (RUSLE) to locate the most sensitive areas to soil erosion by water in Europe. A significant effort was made for selecting the better simplified equations to be used when a strict application of the RUSLE model is not possible. In particular for the computation of the Rainfall Erosivity factor (R) the reproducible research paradigm was applied. The calculation of the R factor was implemented using public datasets and the GNU R language. An easily reproducible validation procedure based on measured precipitation time series was applied using MATLAB language. Designing the computational modelling architecture with the aim to ease as much as possible the future reuse of the model in analysing climate change scenarios is also a challenging goal of the research.

References [1] Rusco, E., Montanarella, L., Bosco, C., 2008. Soil erosion: a main threats to the soils in Europe. In: Tóth, G., Montanarella, L., Rusco, E. (Eds.), Threats to Soil Quality in Europe. No. EUR 23438 EN in EUR - Scientific and Technical Research series. Office for Official Publications of the European Communities, pp. 37-45 [2] Casagrandi, R. and Guariso, G., 2009. Impact of ICT in Environmental Sciences: A citation analysis 1990-2007. Environmental Modelling & Software 24 (7), 865-871. DOI:10.1016/j.envsoft.2008.11.013 [3] Stallman, R. M., 2005. Free community science and the free development of science. PLoS Med 2 (2), e47+. DOI:10.1371/journal.pmed.0020047 [4] Waldrop, M. M., 2008. Science 2.0. Scientific American 298 (5), 68-73. DOI:10.1038/scientificamerican0508-68 [5] Heineke, H. J., Eckelmann, W., Thomasson, A. J., Jones, R. J. A., Montanarella, L., and Buckley, B., 1998. Land Information Systems: Developments for planning the sustainable use of land resources. Office for Official Publications of the European Communities, Luxembourg. EUR 17729 EN [6] Farr, T. G., Rosen, P A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., Alsdorf, D., 2007. The Shuttle Radar Topography Mission. Review of Geophysics 45, RG2004, DOI:10.1029/2005RG000183 [7] Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., and New, M., 2008. A European daily high-resolution gridded dataset of surface temperature and precipitation. Journal of Geophysical Research 113, (D20) D20119+ DOI:10.1029/2008jd010201 [8] Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., and Yoder, D. C., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture handbook 703. US Dept Agric., Agr. Handbook, 703 [9] Bosco, C., Rusco, E., Montanarella, L., Panagos, P., 2009. Soil erosion in the alpine area: risk assessment and climate change. Studi Trentini di scienze naturali 85, 119-125 [10] Bosco, C., Rusco, E., Montanarella, L., Oliveri, S., 2008. Soil erosion risk assessment in the alpine area according to the IPCC scenarios. In: Tóth, G., Montanarella, L., Rusco, E. (Eds.), Threats to Soil Quality in Europe. No. EUR 23438 EN in EUR - Scientific and Technical Research series. Office for Official Publications of the European Communities, pp. 47-58 [11] de Rigo, D. and Bosco, C., 2011. Architecture of a Pan-European Framework for Integrated Soil Water Erosion Assessment. IFIP Advances in Information and Communication Technology 359 (34), 310-31. DOI:10.1007/978-3-642-22285-6_34 [12] Bosco, C., de Rigo, D., Dewitte, O., and Montanarella, L., 2011. Towards a Reproducible Pan-European Soil Erosion Risk Assessment - RUSLE. Geophys. Res. Abstr. 13, 3351 [13] Bollinne, A., Laurant, A., and Boon, W., 1979. L’érosivité des précipitations a Florennes. Révision de la carte des isohyétes et de la carte d’erosivite de la Belgique. Bulletin de la Société géographique de Liége 15, 77-99 [14] Ferro, V., Porto, P and Yu, B., 1999. A comparative study of rainfall erosivity estimation for southern Italy and southeastern Australia. Hydrolog. Sci. J. 44 (1), 3-24. DOI:10.1080/02626669909492199 [15] de Santos Loureiro, N. S. and de Azevedo Coutinho, M., 2001. A new procedure to estimate the RUSLE EI30 index, based on monthly rainfall data and applied to the Algarve region, Portugal. J. Hydrol. 250, 12-18. DOI:10.1016/S0022-1694(01)00387-0 [16] Rogler, H., and Schwertmann, U., 1981. Erosivität der Niederschläge und Isoerodentkarte von Bayern (Rainfall erosivity and isoerodent map of Bavaria). Zeitschrift fur Kulturtechnik und Flurbereinigung 22, 99-112 [17] Nearing, M. A., 1997. A single, continuous function for slope steepness influence on soil loss. Soil Sci. Soc. Am. J. 61 (3), 917-919. DOI:10.2136/sssaj1997.03615995006100030029x [18] Morgan, R. P C., 2005. Soil Erosion and Conservation, 3rd ed. Blackwell Publ., Oxford, pp. 304 [19] Šúri, M., Cebecauer, T., Hofierka, J., Fulajtár, E., 2002. Erosion Assessment of Slovakia at regional scale using GIS. Ecology 21 (4), 404-422 [20] Cebecauer, T. and Hofierka, J., 2008. The consequences of land-cover changes on soil erosion distribution in Slovakia. Geomorphology 98, 187-198. DOI:10.1016/j.geomorph.2006.12.035 [21] Poesen, J., Torri, D., and Bunte, K., 1994. Effects of rock fragments on soil erosion by water at different spatial scales: a review. Catena 23, 141-166. DOI:10.1016/0341-8162(94)90058-2 [22] Wischmeier, W. H., 1959. A rainfall erosion index for a universal Soil-Loss Equation. Soil Sci. Soc. Amer. Proc. 23, 246-249 [23] Iverson, K. E., 1980. Notation as a tool of thought. Commun. ACM 23 (8), 444-465. DOI:10.1145/358896.358899 [24] Quarteroni, A., Saleri, F., 2006. Scientific Computing with MATLAB and Octave. Texts in Computational Science and Engineering. Milan, Springer-Verlag [25] The MathWorks, 2011. MATLAB. http://www.mathworks.com/help/techdoc/ref/ [26] Eaton, J. W., Bateman, D., and Hauberg, S., 2008. GNU Octave Manual Version 3. A high-level interactive language for numerical computations. Network Theory Limited, ISBN: 0-9546120-6-X [27] de Rigo, D., 2011. Semantic Array Programming with Mastrave - Introduction to Semantic Computational Modeling. The Mastrave project. http://mastrave.org/doc/MTV-1.012-1 [28] de Rigo, D., (exp.) 2012. Semantic array programming for environmental modelling: application of the Mastrave library. In prep. [29] Bosco, C., de Rigo, D., Dewitte, O., Poesen, J., Panagos, P.: Modelling Soil Erosion at European Scale. Towards Harmonization and Reproducibility. In prep. [30] R Development Core Team, 2005. R: A language and environment for statistical computing. R Foundation for Statistical Computing. [31] Stallman, R. M., 2009. Viewpoint: Why “open source” misses the point of free software. Commun. ACM 52 (6), 31–33. DOI:10.1145/1516046.1516058 [32] de Rigo, D. 2011. Multi-dimensional weighted median: the module "wmedian" of the Mastrave modelling library. Mastrave project technical report. http://mastrave.org/doc/mtv_m/wmedian [33] Shakesby, R. A., 2011. Post-wildfire soil erosion in the Mediterranean: Review and future research directions. Earth-Science Reviews 105 (3-4), 71-100. DOI:10.1016/j.earscirev.2011.01.001 [34] Zuazo, V. H., Pleguezuelo, C. R., 2009. Soil-Erosion and runoff prevention by plant covers: A review. In: Lichtfouse, E., Navarrete, M., Debaeke, P Véronique, S., Alberola, C. (Eds.), Sustainable Agriculture. Springer Netherlands, pp. 785-811. DOI:10.1007/978-90-481-2666-8_48

Image Visit is a configurable app template that allows users to quickly review the attributes of a predetermined sequence of locations in imagery. The app optimizes workflows by loading the next image while the user is still viewing the current image, reducing the delay caused by waiting for the next image to be returned from the server.Image Visit users can do the following:Navigate through a predetermined sequence of locations two ways: use features in a 'Visit' layer (an editable hosted feature layer), or use a web map's bookmarks.Use an optional 'Notes' layer (a second editable hosted feature layer) to add or edit features associated with the Visit locations.If the app uses a Visit layer for navigation, users can edit an optional 'Status' field to set the status of each Visit location as it's processed ('Complete' or 'Incomplete,'' for example).View metadata about the Imagery, Visit, and Notes layers in a dialog window (which displays information based on each layer's web map popup settings).Annotate imagery using editable feature layersPerform image measurement on imagery layers that have mensuration capabilitiesExport an imagery layer to the user's local machine, or as layer in the user’s ArcGIS accountUse CasesAn insurance company checking properties. An insurance company has a set of properties to review after an event like a hurricane. The app would drive the user to each property, and allow the operator to record attributes (the extent of damage, for example). Image analysts checking control points. Organizations that collect aerial photography often have a collection of marked or identifiable control points that they use to check their photographs. The app would drive the user to each of the known points, at a suitable scale, then allow the user to validate the location of the control point in the image. Checking automatically labeled features. In cases where AI is used for object identification, the app would drive the user to identified features to review/correct the classification. Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsCreating an app with this template requires a web map with at least one imagery layer.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageClick the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

This Experience Builder is embedded in conjunction with the Minimalist Web Application to showcase Active Developments within the Town of Wake Forest. This Web Experience can be located on the Town of Wake Forest's Website at : https://www.wakeforestnc.gov/planning/developmentFor easy updating and maintenance of Active Developments, this process consist of 1 Web Experience, 1 Web Mapping Application and 2 Web Maps. Active Development Minimalist - Web Mapping Application Active Development Web Map - this web map is used as the main map for the minimalist web mapping application. Active Development Web Map Editing - this web map is used for updating attribute fields; specifically updating the Status of an Active Development from Under Review to Active or Closed. Survey123 is used to submit an Active Development (Under Review), so that GIS can add the polygon to the Active Developments (Feature Layer)

The Urban Observatory Compare app shows maps of the same subject for three cities, in a side by side comparison view. The app allows quick visual comparisons of the patterns at work in cities around the world.The app allows people to interact with rich datasets for each city. People can use the Urban Observatory web application to easily compare cities by using a simple web browser. As a user zooms in to one digital city map, other city maps will zoom in parallel, revealing similarities and differences in density and distribution. For instance, a person can simultaneously view traffic density for Abu Dhabi and Paris or simultaneously view vegetation in London and Tokyo.The Urban Observatory is brought to you by Richard Saul Wurman, creator of Technology/Entertainment/Design (TED) and 19.20.21; Jon Kamen of the Academy Award-, Emmy Award-, and Golden Globe Award-winning film company @radical.media; and Esri president Jack Dangermond. "A map is a pattern made understandable, and patterns must be compared to understand successes, failures, and opportunities of our global cities," says Wurman. "The Urban Observatory demonstrates this new paradigm, using cartographic language and constructive data display. People and cities can use maps as a common language," said Wurman. The application utilizes Esri's ArcGIS API for JavaScript. Once a web map is created, it is added to a group and tagged to indicated its city and subject information. Those tags are read by the application as it starts up in the browser.

Dataset SummaryAbout this data:This layer displays the Zoning, Preservation Districts, and Overlay Districts for the City of Rochester, NY. What is Zoning?Zoning is the means by which communities regulate the use of land and buildings to protect and promote the quality of life within their boundaries. Zoning regulations are also an important means of implementing the goals of the City’s comprehensive plan. Under the Zoning Code, every city property is located in a specific zoning district and has an established legal use. If there was no Zoning Code, property owners could infringe on one another's use of property; nearby uses could be incompatible; structures could be built too close or too tall; the natural environment could be adversely impacted, and important historical and cultural assets could be lost.Zoning regulations are therefore written to make the best uses of our already built environment; to protect the investments made in properties; and, to promote the development and enjoyment of neighborhoods.The City of Rochester’s zoning regulations were comprehensively revised in 1929, 1957, 1975, and 2003.Zoning Code UpdateThe City is currently in the process of updating its Zoning Code to align with the Rochester 2034 Comprehensive Plan. To learn more about this project and how you can be involved, click here.Zoning Applications and Reviews A Permit application is generally required to initiate a Zoning application and review. Permits are required to establish a use for a property, or to make improvements to it, and may be made by an owner or an individual with a contractual interest in the property, such as a lessee, contractor, or agent.When an application for a Permit is made to the City of Rochester, a zoning review is initiated, and an application for a Certificate of Zoning Compliance (CZC) is opened. Applicants are encouraged to schedule pre-application meetings for their projects as needed.Zoning regulations determine the types of uses and development allowed in each zoning district, as well as many detailed aspects of a development, such as accessory uses, parking, setbacks, screening, landscaping, and to some extent, design. Regulations are found in Chapter 120 of the City Code.Approximately fifteen (15) different types of zoning districts exist in the City of Rochester, each with their own unique set of regulations for uses and development. There are also certain regulations applied city-wide or to specified uses. Click here to learn What's my Zoning.Zoning regulations also identify certain special approval processes that may be required to approve changes to a property. Variances, Special Permits, Certificates of Appropriateness, Site Plan Approvals, and Subdivisions are the most commonly needed types of special approvals. Special approvals sometimes waive requirements written in the Zoning Code.Special ApprovalsSpecial approvals are granted by a public board, a commission, City Council or by the Manager of Zoning. Variances are granted by the Zoning Board of Appeals; Special Permits and Subdivision approvals are granted by the City Planning Commission ; Certificates of Appropriateness are approved by the Rochester Preservation Board; and Zoning text or map amendments are reviewed by the City Planning Commission and approved by City Council. Application forms and meeting schedules are available online for most of these processes.All applications must be reviewed for their possible environmental impacts to our physical, cultural and historical assets. State and local environmental laws, known as "SEQR," enacted first in the 1970's, require specific compliance reviews to ensure that each project or change does not cause any significant adverse impacts to these assets.Zoning ApprovalThe Manager of Zoning must approve all Certificates of Zoning Compliance (CZC). The issuance of a Certificate establishes that a project or proposal complies with and meets all required zoning regulations for the requested approval. It is required before a Building Permit can be issued.Data Dictionary for Zoning Overlay Districts and Preservation Districts: Label: The pop-up text that identifies the district. ZONE_LABEL: The name of the layer. Official Description: The name of the zoning class. BLURB1: A description of the zoning class. LINKTEXT1: Notes if there is a link to the zoning class description. HREF1: A link to the City of Rochester zoning on ecode360 for the given zone label. Data Dictionary for Zoning Districts: Label: The pop-up text that identifies the district. Category: The specific zoning category the district falls into. ZONE_LABEL: The name of the zoning layer. Official Description: The name of the zoning class. BLURB1: A description of the zoning class. LINKTEXT1: Notes if there is a link to the zoning class description. HREF1: A link to the City of Rochester zoning on ecode360 for the given zone label.

Manager offers the ability to add multiple maps and review and modify editable layers. After reviewing data, use editing tools to edit attributes, attachments and related records of features. Manager also includes a basic set of map exploration tools to help navigate the maps. Examples:Review problems with local roads in a neighborhood that were collected using crowdsourcingAdjust the completion status of jobs in the field based on a weekly reportUpdate tax records for real estate properties after ownership changesData RequirementsCreating an app with this template requires a web map with at least one editable layer.Key App CapabilitiesEditing tools - Add, update, and delete featuresRelated records - Display and edit related recordsShare - Export data to a CSV fileHome, Zoom Controls, Legend, SearchSupportabilityThis web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

This dataset represents all City of Bend permit applications from 1993 to present as well as many historic permit applications from 1990-1993. Applications are generated using tax lot data from the time of submission combined with application attributes derived from City of Bend permitting software. Please note data is updated nightly and subject to change as applications are received and reviewed.Attribute Information:Field Name DescriptionObjectIDFor internal use.GNMasterProjectIDFor internal use.GNCommonIDFor internal use.PR_RecordIDFor internal use.ApplicationNumberThe tracking number for this application in The City of Bend permitting system.ApplicationDateThe date the application was submitted for review. IssueDateThe date the City of Bend issued the permit. If there is an Application Date but no Issue Date, this generally means the application is still under review.DateFinaledThe date the application had all its inspections completed. If there is an Issue Date but not a Date Finaled, this generally means the application is still under construction.SQFTThe estimate square footage of the work being proposed. The estimated square footage (if any) is supplied by the applicant and not verified by the City. UnitsThe number of housing units that will be constructed. Please note units are not verified until permit issuance. Data is subject to change.Affordable HousingIdentifier for permits related to affordable housing projects. OnSewerIdentifier for permits on properties served by City sewer. ProjectValuationThe estimated project cost of the work being proposed based on the fair market value. The estimate cost (if any) represents the best available information and is subject to change. ApplicationTypeThe application type code by category, such as new construction, demolition, renovation, addition, etc. TypeDescThe application type description by category, such as new construction, demolition, renovation, addition, etc. ApplicationStatusThe current status code for the application. Updated nightly. StatusDescThe current status description for the application. Updated nightly. BldgUseThe building use code by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.UseDescThe building use description by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.BuildingCategoryA description of whether the permit is for a residential or non-residential project.DeptCodeThe lead department managing the application review.DepartmentThe lead department managing the application review.OwnerThe owner of the property associated with this permit at the time of application. CensusStructureCodeThe census structure code. Permits for new housing units are classified into US Census Bureau-defined classifications.CensusStructureDescThe census structure description. Permits for new housing units are classified into US Census Bureau-defined classifications.AddressThe site address for the application. Please note if a project includes multiple addresses, only one is visible in this field.LOCIDFor internal use.SITADDIDFor internal use.TAXLOTThe tax lot for the application. Please note if a project includes multiple tax lots, only one is visible in this field.CENTERLINIDFor internal use.LocationFinaledFor internal use.GlobalIDFor internal use.CREATEDBYFor internal use.CREATEDDATEFor internal use.UPDATEDBYFor internal use.LASTUPDATEFor internal use.InfoFinaledFor internal use.OverallStatusFor internal use.Shape.STArea()For internal use.Shape.STLength()For internal use.For questions regarding permit applications, please visit The City of Bend Online Permit Center or call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.

This map is designated as Final.Land-Use Data Quality ControlEvery published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process. Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.Provisionaldata sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.The 2006 Trinity County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM). Land use boundaries were digitized and land use data was gathered by staff of DWR’s Northern Region using extensive field visits and aerial photography. The land uses that were mapped were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters and Northern Region, under the supervision of Tito Cervantes, Senior Land and Water Use Scientist. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of Trinity County conducted by the California Department of Water Resources, Northern Region Office staff. Data development: Trinity County was surveyed using the 2005 one-meter resolution National Agriculture Imagery Program (NAIP) digital aerial photos from the U.S. Department of Agriculture's Farm Services Agency as a base for line work. Digital 7.5’ quadrangle sized images were created from the 2005 NAIP imagery. In the spring of 2006, DWR's Northern Region staff digitized land use boundaries using AutoCAD Map software. The digital images and land use boundaries were copied onto laptop computers that were used as the field data collection tools. Staff visited all accessible fields to positively identify agricultural land uses. These site visits occurred between June and August 2006. Land use codes were digitized directly into the laptop computers in the field using AutoCAD Map (using a standardized digitizing process). Some staff took printed aerial photos into the field and wrote land use codes directly onto these photo field sheets. The data from the photo field sheets were digitized using AutoCAD Map back in the office. For both data gathering techniques, any land use boundary changes were noted and then corrected in the office. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using primarily aerial photo interpretation, so some urban areas may have been missed. In some rural residential areas, urban land use was delineated by drawing polygons to surround houses or other buildings along with a minimal area of land surrounding these structures. These footprint areas represent the locations of structures but do not represent the entire footprint of urban land. Sources of irrigation water were not mapped in this survey. The linework and attributes from each AutoCAD drawing file were brought into ArcInfo and both quadrangle and survey-wide coverages were created, and underwent quality checks. The coverages were converted to shapefiles using ArcView. After quality control procedures were completed on each file, the data was finalized. Before final processing, standard quality control procedures were performed jointly by staff at DWR's Northern District, and at DPLA headquarters under the leadership of Jean Woods, Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the 2005 orthorectified NAIP imagery, is approximately 6 meters, but in some areas linework may be 10 meters from the actual location. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

This is a continually updated dataset. To see the last updated date, please visit the MaineDMR Map PageAQUACULT_Complete_Lease_Applications contains information on new applications that have been deemed complete by MaineDMR. The location information is an approximate centerpoint of the proposed lease site. This layer contains the applicants name, the application type, and a link to the complete application on MaineDMR's website. NOTE: location displayed here is just to provide a rough location of where a new application is located. Full details about the location of an application can be found in the lease application itself.

This dataset represents all City of Bend permit applications connected to street segment(s) from 2019 to present. Permits are generated using road centerlines data from the time of submission combined with application attributes derived from City of Bend permitting software. Please note data is updated nightly and subject to change as applications are received and reviewed.Attribute Information: Field NameDescriptionOBJECTIDFor internal use.GNMasterProjectIDFor internal use.GNCommonIDFor internal use.PR_RecordIDFor internal use.ApplicationNumberThe tracking number for this application in The City of Bend permitting system.ApplicationDateThe date the application was submitted for review. IssueDateThe date the City of Bend issued the permit. If there is an Application Date but no Issue Date, this generally means the application is still under review.DateFinaledThe date the application had all its inspections completed. If there is an Issue Date but not a Date Finaled, this generally means the application is still under construction.SQFTThe estimate square footage of the work being proposed. The estimated square footage (if any) is supplied by the applicant and not verified by the City. UnitsThe number of housing units that will be constructed. Please note units are not verified until permit issuance. Data is subject to change.Affordable HousingIdentifier for permits related to affordable housing projects. OnSewerIdentifier for permits on properties served by City sewer. ProjectValuationThe estimated project cost of the work being proposed based on the fair market value. The estimate cost (if any) represents the best available information and is subject to change. ApplicationTypeThe application type code by category, such as new construction, demolition, renovation, addition, etc. TypeDescThe application type description by category, such as new construction, demolition, renovation, addition, etc. ApplicationStatusThe current status code for the application. Updated nightly. StatusDescThe current status description for the application. Updated nightly. BldgUseThe building use code by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.UseDescThe building use description by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.BuildingCategoryA description of whether the permit is for a residential or non-residential project.DeptCodeThe lead department managing the application review.DepartmentThe lead department managing the application review.OwnerThe owner of the property associated with this permit at the time of application. CensusStructureCodeThe census structure code. Permits for new housing units are classified into US Census Bureau-defined classifications.CensusStructureDescThe census structure description. Permits for new housing units are classified into US Census Bureau-defined classifications.AddressThe site address for the application. Please note if a project includes multiple addresses, only one is visible in this field.LOCIDFor internal use.SITADDIDFor internal use.TAXLOTThe tax lot for the application. Please note if a project includes multiple tax lots, only one is visible in this field.CENTERLINIDFor internal use.LocationFinaledFor internal use.GlobalIDFor internal use.CREATEDBYFor internal use.CREATEDDATEFor internal use.UPDATEDBYFor internal use.LASTUPDATEFor internal use.InfoFinaledFor internal use.OverallStatusFor internal use.Shape.STLength()For internal use.For questions regarding permit applications, please visit The City of Bend Online Permit Center or call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.

This spatial dataset shows the location, size, type, status, name and description of active development applications in York Region. Critical dates related to the review and approval process are also included. This informs interested parties outside of Regional staff of the status of development applications currently being reviewed by the Region. The York Region Development Application Status and Teams Dashboard is also available and uses this data source.For more information on York Region’s role in the development planning review process, please visit https://www.york.ca/business/land-development/development-planning-review