Scientific Investigations Map 2975, Geologic map of the Big Delta B-1 Quadrangle, east-central Alaska, provides detailed (1:63,360-scale) geologic mapping of the U.S. Geological Survey (USGS) Big Delta B-1 quadrangle. This data release is a conversion of the originating geospatial data published by the USGS and may include minor modifications necessary for schema compliance. The dataset contains geologic, structural, stratigraphic, and geochronologic data organized according to the GeMS and AK GeMS mapping schemas. The geodatabase and ESRI fonts and style files are available from the DGGS website: https://dggs.alaska.gov/pubs/id/23531.

This dataset is about books. It has 1 row and is filtered where the book is Mapping the delta. It features 7 columns including author, publication date, language, and book publisher.

Superseded:

A more recent version of this product appears here:

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-for-modeling-version-4-1

This product will continue to be distributed for archival purposes.

Product

The product is a set of mutually consistent 10m and 2m integrated elevation maps (DEM) in standard ascii format.There are few missing data where there is water or at land-water interfaces. However, our map does have gaps at some inland and island sites. We have opted not to fill these because there is an ongoing project at DWR to re-analyze LiDAR returns and improve the terrestrial map. The CSTARS project at UC Davis is doing this as well.

This product is developed based on synthesizing LiDAR, single- and multibeam sonar soundings and existing integrated maps collated from multiple sources. The following figure shows the data sources used for different areas. The western part of our Bay-Delta work blends the original Foxgrover map with the 1/3 arc second DEM produced by NOAA. These are close in the region of overlap and edge-matches the NOAA data well, but the NOAA map seems to capture things like bridge footings that the original 10m Foxgrover map of the region smooths. A richer 2m product combining new data and some interpolation is due to be release by USGS in Winter or Spring 2013. Our previews of this map indicate that it is heavily based on the 1/3 arc second NOAA map for points near Carquinez Straits. For more information, please refer to the article: A Continuous Surface Elevation Map

Please note that we distribute only our own integrated maps, not the original constituent data.

Data Sources

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-v3/resource/36a1a7b0-895e-4b10-bc78-1962f523fb05

Coverage Areas

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-v3/resource/9e7c5963-ba33-4b3d-91a9-5e45671faad4

This data sets contains monthly bias corrected (by using Quantile Delta Mapping method) and raw MMM (Multi Model Mean) outputs from 2015 to 2099 under SSP1-2.6 and SSP5-8.5.Multi Model Mean (MMM) includes following models:ACCESS-CM2, BCC-CSM2-MR, CAMS-CSM1-0, CANESM5, CANESM5-CANOE, CESM2, CMCC-CM2-SR5, CMCC-ESM2, CNRM-CM6-1, CNRM-CM6-1-HR, CNRM-ESM2-1, FGOALS-F3-L, FIO-ESM-2-0, GFDL-ESM4, HADGEM3-GC31-LL, HADGEM3-GC31-MM, INM-CM5-0, IPSL-CM6A-LR, KACE-1-0-G, MCM-UA-1-0, MIROC-ES2L, MIROC6, MRI-ESM2-0, NESM3, TAIESM1, and UKESM1-0-LL.MMM historical simulation from 1959.to 2014 for temperature and precipitation is also provided.In addition to MMM outputs, monthly ERA5 data from 1959 to 2022 is also included. ERA5 includes:t2m = 2 metre temperature (unit K) sst = Sea surface temperature (unit K) sp = Surface pressure (unit Pa) tp = Total precipitation (m)

Participatory mapping is a general term applied to activities that work with participants to gather and map spatial information to help communities learn, discuss, build consensus, and make decisions about their communities and associated resources (NOAA 2015). Here we used participatory mapping to document the locations of different species of berries and understand any social, ecological, or climatological reasons that these locations may be shifting. Mapping was accomplished using topographic basemaps of the villages and surrounding areas overlaid with mylar sheeting. The area surrounding the villages of Hooper Bay and Kotlik were represented with arrays of 1: 63,360 USGS quadrangle topographic maps (USGS, 2017). A 1:250,000 USGS topographic map was utilized for Emmonak, and a 1:500,000 scale community-created place names map in Chevak. Participants identified harvesting locations for each of the five berry species by drawing onto the mylar sheeting using varying colors of mark ...

These data provide an accurate high-resolution shoreline compiled from imagery of PEARL RIVER DELTA, LA and MS . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Delta Primary Zone Boundary The history of the primary zone boundary is as follows: the Primary Zone was defined in the 1992 Delta Flood Protection Act by referring to a map attached to the legislation, on file with the Secretary of State. See Public Resources Code section 29728. The map was submitted by the Delta Protection Commission. It is a large extent (small scale) map, with no real controls, little or no reference marks or guides of any kind, and no legal description. As such, from a mapping point of view, it leaves much to be desired. Nevertheless, by law, this map defines the Primary Zone boundary. Sometime shortly after the law was passed, DWR Land & Right of Way drew the boundary on 24k topo maps which also had the precise, agreed-upon legal Delta boundary. There are some significant differences between the DWR version and the official version. In asking current DWR Land & Right of Way staff (Carrol Leong & Fred Mau), there was no readily-available explanation, and the person who originally conducted it is no longer there. That is unfortunate, because not only are these maps much more "accuracy friendly", but there may have been good reasons why the boundary was drawn as such. This is the Delta primary zone boundary. It was drawn by Joel Dudas on November 27, 2002, as described below. It was drawn at the request of Margit Arambru, Delta Protection Commission. The legal Delta/primary zone effort conducted by Chico State had raised questions about the primary zone boundary, and upon inspection of the issue it has been determined that there is no precise solution available at this time. Lori Clamurro & Margit Arambru indicated that this delineation was acceptable to them upon review (12/8/2002). METHOD: There were significant errors in the paper base map, as evidenced by errors in the locations of roads, watercourses, and the legal Delta boundary itself. Due to these significant problems posed by the errors inherent in the paper base map, the base map was used as a guide, rather than as a literal translation, to locate the primary zone boundary. Furthermore, a second significant assumption was made, namely that the intent of the Primary Zone map was to indicate that the legal boundary and the primary zone boundary are one and the same in many places, but that mapping this would not result in distinguishable lines if they were literally drawn atop each other, and they therefore were lined up adjacent to one another (on the source paper map!), with the gap being as small as possible but also being far enough apart to clearly distinguish the two lines. Therefore, for GIS purposes, the shapefile was created by tracing the legal boundary line wherever this was felt to be appropriate. The third major assumption was that, in places where the primary zone and the legal boundary are separated, the primary zone boundary was equivalent to the primary zone boundary drawn by DWR Land & Right of Way on the higher accuracy 24k maps in all places except where significant deviations obviously occurred as indicated by the official paper base map. The rationale for this is that the 24k map does a better job delineating the boundary according to actual features (watercourses, rec district boundaries, etc.) where the intended boundary was clearly the same, but where the paper map simply cannot represent this intent accurately. However, in places where the intent clearly shows a discrepancy from the "higher accuracy" line, the boundary on the paper base map was literally traced. Delta Secondary Zone Boundary The parent of this file was one of the Delta Vision Status & Trends shapefiles. Published in 4/2007. The change to the boundary near Van Sickle was made subsequent to delivery to DWR on 10/8/2009. Also, offsets versus the legal Delta boundary were corrected by DWR on 10/22/2009. At this time, unless better information becomes available, it is therefore felt that these are the best boundaries available.

This applications hosts an interactive map developed by the Delta Stewardship Council, a California state agency, as a reference for the Sacramento-San Joaquin Delta (Delta). It illustrates select boundaries, reference layers, and Delta Stewardship Council regulatory policies with a geographic component. The Delta Plan policies shown here are provided for reference only, are not survey grade, and do not replace approved regulatory text in the Water Code, California Code of Regulations, or Public Resources Code. For more information, please contact the Delta Stewardship Council.Some layers shown on this map are maintained by other entities.

Map Delta Update Market Outlook

According to our latest research, the global Map Delta Update Market size reached USD 2.14 billion in 2024, and is projected to grow at a robust CAGR of 13.7% during the forecast period. By 2033, the market is expected to achieve a value of USD 6.31 billion. This significant growth is primarily driven by the increasing demand for real-time and accurate mapping solutions across automotive, mobile, and logistics sectors, as companies and governments strive to improve navigation, safety, and operational efficiency.

A key growth factor propelling the Map Delta Update Market is the proliferation of connected vehicles and smart mobility solutions. As autonomous and semi-autonomous vehicles become increasingly mainstream, the need for up-to-date, precise digital maps has never been more critical. Map delta updates, which allow for incremental changes rather than complete overhauls, enable real-time navigation adjustments and traffic management. Automotive manufacturers are integrating advanced navigation systems that rely on these updates to deliver enhanced driving experiences, reduce latency in route recalculations, and ensure passenger safety. This ongoing evolution in the automotive sector is setting a strong foundation for sustained market expansion.

Another significant driver is the rapid adoption of mobile devices and location-based services, which require continuously updated map data to support a wide array of applications. From ride-sharing platforms to local business discovery, the accuracy and freshness of map data are crucial. Map delta updates allow service providers to efficiently distribute changes, reducing bandwidth and storage requirements while maintaining high data reliability. Furthermore, the rise of Geographic Information Systems (GIS) in sectors such as urban planning, disaster management, and environmental monitoring is fueling the demand for timely and granular map updates, making this technology indispensable for both public and private sector initiatives.

The increasing digitalization of transportation and logistics networks is also contributing to the robust growth of the Map Delta Update Market. Fleet operators and logistics companies are leveraging real-time map updates to optimize routes, minimize fuel consumption, and enhance delivery accuracy. These updates enable dynamic rerouting in response to traffic congestion, road closures, and other unforeseen events, thereby improving service reliability and customer satisfaction. Additionally, government agencies and defense organizations are investing in advanced mapping solutions to support mission-critical operations, border surveillance, and disaster response, further expanding the market’s application scope.

From a regional perspective, North America currently dominates the Map Delta Update Market, accounting for the largest share due to the early adoption of advanced automotive technologies and the presence of major industry players. Europe follows closely, driven by stringent regulatory requirements for road safety and the growing adoption of connected mobility solutions. The Asia Pacific region is anticipated to exhibit the fastest growth during the forecast period, fueled by rapid urbanization, increasing smartphone penetration, and substantial investments in smart city infrastructure. Latin America and the Middle East & Africa are also witnessing steady growth, supported by infrastructure modernization efforts and the expansion of digital services.

Component Analysis

The Map Delta Update Market is segmented by component into Software, Hardware, and Services, each playing a critical role in the ecosystem. The software segment commands the largest market share, as it encompasses the core platforms and algorithms responsible for generating, distributing, and applying delta updates. With the advancement of machine learning and artificial intelligence, map update software has become more sophisticated, enabling faster processing and more accurate da

Satellite-derived inundation maps offer an efficient solution for monitoring the spatial and temporal variability of the hydrological cycle of wetlands. This task is important for taking mitigation actions against factors (e.g. climate change and human pressures) threatening wetlands' functions and services. Inundation maps within the period 2016/10/05 to 2017/08/01 were generated for Danube Delta based on the methodology presented in "Kordelas, G.A.; Manakos, I.; Aragonés, D.; Díaz-Delgado, R.; Bustamante, J. Fast and Automatic Data-Driven Thresholding for Inundation Mapping with Sentinel-2 Data. Remote Sens. 2018, 10, 910.". Each inundation map is named as " 'Date'_inundation_map_Danube_Delta_S2.tif ", and contains the following classes: Inundated Class, Non-inundated Class. In this map, Inundated and Non-inundated Classes are denoted with 0 and 1, respectively. The regions, which are manually denoted as affected by clouds, are denoted with 2. 'Date' is in the form YYYY_MM_DD.

This U.S. Geological Survey Data Release includes maps of Phragmites australis coverage within the Delta National Wildlife Refuge (NWR), located on the eastern half of the Mississippi River Delta in south Louisiana, for 2011, 2013 and 2016. While the objective of this mapping effort was to map the presence of P. australis, the map also includes coverage of water and non-P.australis land areas (e.g., non-P. australis emergent marsh with scrub/shrub, developed, etc.) and water (e.g., open water, submerged aquatic vegetation, floating aquatic vegetation, and nonpersistent wetlands). This data release also includes maps that show spatial change in P. australis coverage between mapping efforts. This specific dataset is a map of P. australis and other general land cover (non-P. australis land and water) for Delta NWR for 2016. This compressed file contains five shapefiles: (1) Delta_NWR_Phragmites_Map_2011.shp - ESRI shapefile containing habitat classes. (2) Delta_NWR_Phragmites_Map_2013.shp - ESRI shapefile containing habitat classes. (3) Delta_NWR_Phragmites_Map_2016.shp - ESRI shapefile containing habitat classes. (4) Delta_NWR_Phragmites_Change_2011_2013.shp - ESRI shapefile containing Phragmites australis change between 2011 and 2013. (5) Delta_NWR_Phragmites_Change_2013_2016.shp - ESRI shapefile containing Phragmites australis change between 2013 and 2016.

Superseded: A more recent version of this product appears here: https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-for-modeling-version-4-1 This product will continue to be distributed for archival purposes. # Product The product is a set of mutually consistent 10m and 2m integrated elevation maps (DEM) in standard ascii format.There are few missing data where there is water or at land-water interfaces. However, our map does have gaps at some inland and island sites. We have opted not to fill these because there is an ongoing project at DWR to re-analyze LiDAR returns and improve the terrestrial map. The CSTARS project at UC Davis is doing this as well. This product is developed based on synthesizing LiDAR, single- and multibeam sonar soundings and existing integrated maps collated from multiple sources. The following figure shows the data sources used for different areas. The western part of our Bay-Delta work blends the original Foxgrover map with the 1/3 arc second DEM produced by NOAA. These are close in the region of overlap and edge-matches the NOAA data well, but the NOAA map seems to capture things like bridge footings that the original 10m Foxgrover map of the region smooths. A richer 2m product combining new data and some interpolation is due to be release by USGS in Winter or Spring 2013. Our previews of this map indicate that it is heavily based on the 1/3 arc second NOAA map for points near Carquinez Straits. For more information, please refer to the article: A Continuous Surface Elevation Map Please note that we distribute only our own integrated maps, not the original constituent data.

These data provide an accurate high-resolution shoreline compiled from imagery of COPPER RIVER DELTA, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribu...

This dataset contains five maps of cumulative changes in water levels at 30-minute intervals over a 150-minute period on 2016-10-16 in the Atchafalaya Basin in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Water surface elevations were measured on six flights at 30-minute intervals, with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar (SAR) flown on the NASA Gulfstream-III aircraft. The five georeferenced maps at 6 m resolution show the cumulative change of water levels (cm) every 30 minutes relative to the first sampling flight. These Level 3 maps were generated using the InSAR time series Small Baseline Subsets (SBAS) algorithm implemented in the Generic InSAR Analysis Toolbox (GIAnT) toolbox and served to evaluate and compare hydrodynamic models.

This dataset includes total suspended solids (TSS) at the water surface across the Atchafalaya and Terrebonne Basins in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. AVIRIS-NG, the Next Generation Airborne Visible to Infrared Imaging Spectrometer, acquired data over the study area in 2015 and 2016. The remote imageries were combined with coincident field measurements to develop and validate spatially explicit estimates at 3.7-5.4 m resolution of the concentration (mg/L) of TSS.

The $\Delta T_{\text{crit},x}$ and $\Delta T$ values in the CLs method fulfil a similar purpose as the $\Delta \chi^2_{\text{crit},x}$ and...

Vegetation and land use are mapped for the approximately 725,000 acres constituting the Legal Delta portion of the Sacramento and San Joaquin River Delta area. Vegetation mapping is to sub-alliance to super-alliance level (based on the National Vegetation Classification Standard, see http://biology.usgs.gov/npsveg/nvcs.html ); land use is mapped to Anderson Level 2 classification ( see http://landcover.usgs.gov/pdf/anderson.pdf ). The map classification is based on a vegetation classification derived from field data collected in summer and fall of 2005 produced by the Vegetation Classification and Mapping Program of the Department of Fish and Game. The 2002 Stockton, Sacramento, and Delta High Resolution (1-foot) Orthoimagery and 2005 NAIP (1-meter) orthoimagery served as the base. Natural vegetation comprises approximately 17% of the Delta study area, 65% is agriculture and pasture, 10% is urban/other and 8% is open water.

This dataset provides spatial data on water channels in the estuary of the Atchafalaya Basin of the Mississippi River Delta of coastal Louisiana. These Level-3 (L3) channel maps were developed from interferograms derived from Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) data collected on 2016-10-16 (low tides) and 2016-10-17 (high tides). The channel maps define open water paths in hydrodynamic models and are used to evaluate model performance. This is version 2 of this dataset. Data are provided in cloud optimized GeoTIFF format.

This dataset includes aboveground biomass (AGB) and vegetation of herbaceous and forest wetland at 5.4 m resolution across the Wax Lake Delta (WLD) in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Vegetation classes were derived from Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) imagery acquired over the Atchafalaya Basin and the Terrebonne Basin in October 2016 in combination with a digital elevation model. The AVIRIS-NG surface reflectance data were also combined with L-band Uninhabited Airborne Vehicle Synthetic Aperture Radar (UAVSAR) HV backscatter and scattering component values from coincident vegetation sample sites to develop and test AGB models for emergent herbaceous and forested wetland vegetation. This study used the integrated airborne data from AVIRIS-NG and UAVSAR to assess the instruments' unique capabilities in combination for estimating AGB in coastal deltaic wetlands. The 5.4 m resolution vegetation classification map for the WLD study area was then used to apply the best models to estimate AGB across the WLD.