A spread sheet documenting the wetness conditions for various fields in the study site. Additionally, this sheet documents mean spectral responses for Landsat and Worldview 3 bands as well as tillage and wetness indices, and the estimated percentage of residue and raw water content.

These data are generated using the approach described in Sadeh et al., (submitted to Scientific Data). Files are structured as zipped shapefiles per year, per oblast. Please contact yuval.sadeh@monash.edu with questions or comments

Football Field Detection

## Overview

Football Field Detection is a dataset for computer vision tasks - it contains Football Field Detection annotations for 317 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Paper Field is built from the Microsoft Academic Graph and maps paper titles to one of 7 fields of study. Each field of study - geography, politics, economics, business, sociology, medicine, and psychology - has approximately 12K training examples.

Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA. We tested how plant community composition and vegetation structure differences across estuaries influence model development, and whether data from multiple sensors, in particular Sentinel-1 C-band synthetic aperture radar and Landsat, can improve model performance. The final model, driven by six Landsat vegetation indices and with the soil adjusted vegetation index as the most important (n=409, RMSE=464 g/m2, 12.2% normalized RMSE), successfully predicted biomass and carbon for a range of marsh plant functional types defined by height, leaf angle and growth form. Model error was reduced by scaling field measured biomass by Landsat fraction green vegetation derived from object-based classification of National Agriculture Imagery Program imagery. We generated 30m resolution biomass maps for estuarine and palustrine emergent tidal marshes as indicated by a modified NOAA Coastal Change Analysis Program map for each region. With a mean plant %C of 44.1% (n=1384, 95% C.I.=43.99% - 44.37%) we estimated mean aboveground carbon densities (Mg/ha) and total carbon stocks for each wetland type for each region. We applied a multivariate delta method to calculate uncertainties in regional carbon estimates that considered standard error in map area, mean biomass and mean %C. The original version 1.0 of the dataset can be obtained by contacting kbyrd@usgs.gov.

Evaluation of the performance of low cost particulate matter (PM) sensors for measuring wildfire smoke. Datasets include sensor PM concentrations, reference PM concentrations measured near several wild and prescribed fires across the U.S. This dataset is associated with the following publication: Holder, A., A. Mebust, L. Maghran, M. McGown, K. Stewart, D. Vallano, R. Elleman, and K. Baker. Field evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke. Sensors. MDPI AG, Basel, SWITZERLAND, 20(17): NA, (2020).

California State Parks Field Division, District and Sector boundaries, 2024.

This asset contains 24 datasheets, as well analysis and results. The data can be found in the attached reference materials below.

The Advanced Ground Based Field Mill (AGBFM) network consists of 34 (31 operational) field mills located at Kennedy Space Center (KSC), Florida. The field mills measure the electrostatic vertical field. This system can measure electrostatic fields in the range of 4 V/m to 32 kV/m at 10 Hz resolution (digitized at 50 Hz). Individual lightning events can be detected within approximately 50 nautical miles of KSC proper.

Crop Field Detection

## Overview

Crop Field Detection is a dataset for instance segmentation tasks - it contains Crop Field annotations for 212 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

The Field Activity Management Market is projected to grow at 17.4% CAGR, reaching $3.1 Billion by 2029. Where is the industry heading next? Get the sample report now!

Although Rydberg atom-based electric field sensing provides key advantages over traditional antenna-based detection, it remains limited by the need for a local oscillator (LO) for low-field and phase resolved detection. In this work, we demonstrate the general applicability of closed-loop quantum interferometric schemes for Rydberg field sensing, which eliminate the need for an LO. We reveal that the quantum-interferometrically defined phase and frequency of our scheme provides an internal reference that enables LO-free full 360 degree-resolved phase sensitivity. This internal reference can further be used analogously to a traditional LO for atom-based down-mixing to an intermediate frequency for lock-in-based phase detection, which we demonstrate by demodulating a four phase-state signal broadcast on the atoms.

This dataset provides information about the number of properties, residents, and average property values for Field Street cross streets in Wheat Ridge, CO.

Field data and 222Rn activities from the Altona well field. 222Rn, the most stable isotope of radon, was tested for during well extraction experiments. Tracers were also tracked to monitor the well. Data include 222Rn activities and complimentary geochemical data for multiple field experiments as part of an EGS project.

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Maryland Sports (http://www.marylandsports.us/) has identified sport venues located within the State of Maryland. These venues offer opportunities to participate in free and fee-based - organized and pick-up - indoor and outdoor sports and physical fitness related activities in the area of Track and Field. Last Updated: 08/2014 Feature Service Layer Link: http://geodata.md.gov/imap/rest/services/Society/MD_SportVenues/FeatureServer/71 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

NEON operates 81 field sites strategically located across 20 eco-climatic domains across the United States, including 47 terrestrial field sites and 34 freshwater aquatic field sites. When logistically possible, aquatic and terrestrial sites are colocated (i.e. in close proximity) to support understanding of linkages across terrestrial and aquatic ecosystems and their interactions with the atmosphere. Core sitesThe spatial design of the NEON program includes one core terrestrial and one core aquatic site in each of the 20 ecoclimate Domains (with the exception of D20, in Hawaii, which only has a core terrestrial site). These core sites were selected to represent wildlands or more pristine ecosystems with relatively limited human influence within each Domain. As such, many of these sites are in conservation areas or national parks.Gradient sitesThe gradient sites were selected to provide contrasts with the core sites and enable exploration of scientific questions of cause and effect specific to each Domain. A "gradient," in this case, is a range in a driving variable of ecological change that can be measured across a Domain, such as a gradient of nitrogen and dust deposition, permafrost, invasive species, precipitation, or land use. The gradient sites allow us to evaluate how these differences impact ecosystems within a Domain by comparison with the core wildland site.Aquatic instrument and observation systems are virtually identical between core sites and gradient sites. There are some differences in terrestrial instrumentation between sites (e.g., primary precipitation using a Double Fence Intercomparison Reference (DFIR), shortwave radiation, water vapor isotopes, and sun photometers), which are documented in each of the Data Product Page Descriptions on the NEON Data Portal. More site-specific details are included in the Sensor Position files associated with the data download expanded package. Some terrestrial observational sampling designs (e.g., mammal and mosquito sampling) differ between the core and gradient sites, which are documented within the associated data products' Science Designs and Protocols and Procedures, located on the data product landing pages of the NEON Data Portal.

This dataset contains field boundaries for smallholder farms in eastern Rwanda. The Nasa Harvest program funded a team of annotators from TaQadam to label Planet imagery for the 2021 growing season for the purpose of conducting the Rwanda Field boundary detection Challenge. The dataset includes rasterized labeled field boundaries and time series satellite imagery from Planet's NICFI program. Planet's basemap imagery is provided for six months (March, April, August, October, November and December). The paired dataset is provided in 256x256 chips for a total of 70 tiles covering 1532 individual fields.

Input imagery consists of a time series of planet Basemaps from the NICFI program (monthly composite) data.

Imagery Copyright 2021 Planet Labs Inc. All use subject to the Participant License Agreement.

This dataset provides information about the number of properties, residents, and average property values for Goff Field Lane cross streets in Hopkins, SC.

The HVAC Field Device Market Is Segmented By Type (Control Valve, Balancing Valve, PICV, Damper HVAC, And Damper Actuator HVAC), Sensors (Environmental Sensors, Multisensors, Air Quality Sensors, And Occupancy And Lighting), End-user Industry (Commercial, Residential, And Industrial), and Geography (North America, Europe, Asia-Pacific, Latin America, the Middle East, and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Managing field operations can be a pretty daunting task. Not only do you have to manage workers in the field, coordinate schedules, keep track of equipment, and respond to unplanned events, you also need to maintain level of service commitments and do so in compliance with health and safety regulations.Organizations are moving away from traditional paper and pen approaches and embracing apps deployed to their smartphones and tablets. Esri provides a suite of apps designed for field operations._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...