The global GIS Software in Agriculture market is anticipated to grow significantly over the forecast period, driven by the increasing demand for precision agriculture practices and the need for efficient and sustainable farming techniques. The market is expected to witness notable growth due to the rising adoption of GIS technology in various agricultural applications, such as crop monitoring, soil analysis, and irrigation management. The increasing focus on maximizing crop yields, reducing environmental impact, and optimizing resource utilization is further propelling the demand for GIS solutions in the agriculture sector. The key players in the GIS Software in Agriculture market include Autodesk, Inc., Computer Aided Development Corporation Ltd. (Cadcorp), Earth Observing System, Environmental System Research Institute (ESRI), and Geosoft Inc., among others. These companies are investing in research and development to offer advanced GIS software solutions that meet the evolving needs of the agricultural industry. The market is expected to experience significant growth in emerging regions, particularly in Asia-Pacific and Latin America, where agriculture is a key economic sector. Governments and agricultural organizations in these regions are promoting the adoption of GIS technology to enhance agricultural productivity and sustainability.

Smart agriculture refers to tools that collect, store and analyze digital data along the agricultural value chain. Geographic Information System (GIS) system software is one of those tools used in the agricultural sector. The GIS System market in Spain had a value of over 36 million dollars in 2019.

The global market for GIS software in agriculture is experiencing robust growth, driven by the increasing need for precision agriculture techniques and the rising adoption of smart farming practices. This sector leverages Geographic Information Systems (GIS) to optimize various agricultural operations, including land management, crop monitoring, yield prediction, and resource allocation. The market's value in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth trajectory is fueled by several key factors. Firstly, the escalating demand for higher crop yields and improved resource efficiency in the face of a growing global population is a primary driver. Secondly, advancements in sensor technologies, satellite imagery, and data analytics are providing increasingly precise and actionable agricultural insights. Finally, government initiatives promoting digital agriculture and precision farming technologies are further stimulating market expansion. Despite significant growth, challenges remain. High initial investment costs for GIS software and the required hardware can be a barrier to entry for smaller farms and developing economies. Furthermore, the complexity of implementing and effectively utilizing GIS solutions requires skilled personnel, creating a need for increased training and support. However, the long-term benefits of enhanced efficiency, reduced waste, and improved yields are overcoming these obstacles, creating a positive outlook for market expansion. Key players such as Autodesk, Esri, and Trimble are actively innovating and expanding their agricultural GIS offerings to cater to the evolving needs of the sector. The market is segmented by software type (desktop, web-based, mobile), deployment mode (cloud, on-premise), and application (precision farming, irrigation management, crop monitoring). The continued integration of AI and machine learning within GIS platforms promises further advancements in agricultural optimization, propelling market growth in the coming years.

ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)

**When using the GIS data included in these map packages, please cite all of the following:

Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. http://doi.org/10.1371/journal.pone.0220457

Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. https://doi.org/10.5281/zenodo.2572018

OVERVIEW OF CONTENTS

This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:

Raw DEM and Soils data

Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the National Elevation Dataset)

DEM_Individual_Tiles: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.

DEMs_Merged: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM.

Soils Data (Map services and data available from Natural Resources Conservation Service Web Soil Survey, U.S. Department of Agriculture)

Animas-Dolores_Area_Soils: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).

Cortez_Area_Soils: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).

ArcGIS Map Packages

Goodman_Watershed_Full_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).

Goodman_Watershed_Mesa-Only_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.

Crow_Canyon_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).

Coffey_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).

For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."

LICENSES

Code: MIT year: 2019 Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton

CONTACT

Andrew Gillreath-Brown, PhD Candidate, RPA Department of Anthropology, Washington State University andrew.brown1234@gmail.com – Email andrewgillreathbrown.wordpress.com – Web

Geographic Information System (GIS) Tools Market Outlook

The global Geographic Information System (GIS) tools market size was valued at approximately USD 10.8 billion in 2023, and it is projected to reach USD 21.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2032. The increasing demand for spatial data analytics and the rising adoption of GIS tools across various industries are significant growth factors propelling the market forward.

One of the primary growth factors for the GIS tools market is the surging demand for spatial data analytics. Spatial data plays a critical role in numerous sectors, including urban planning, environmental monitoring, disaster management, and natural resource exploration. The ability to visualize and analyze spatial data provides organizations with valuable insights, enabling them to make informed decisions. Advances in technology, such as the integration of artificial intelligence (AI) and machine learning (ML) with GIS, are enhancing the capabilities of these tools, further driving market growth.

Moreover, the increasing adoption of GIS tools in the construction and agriculture sectors is fueling market expansion. In construction, GIS tools are used for site selection, route planning, and resource management, enhancing operational efficiency and reducing costs. Similarly, in agriculture, GIS tools aid in precision farming, crop monitoring, and soil analysis, leading to improved crop yields and sustainable farming practices. The ability of GIS tools to provide real-time data and analytics is particularly beneficial in these industries, contributing to their widespread adoption.

The growing importance of location-based services (LBS) in various applications is another key driver for the GIS tools market. LBS are extensively used in navigation, logistics, and transportation, providing real-time location information and route optimization. The proliferation of smartphones and the development of advanced GPS technologies have significantly increased the demand for LBS, thereby boosting the GIS tools market. Additionally, the integration of GIS with other technologies, such as the Internet of Things (IoT) and Big Data, is creating new opportunities for market growth.

Regionally, North America holds a significant share of the GIS tools market, driven by the high adoption of advanced technologies and the presence of major market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to increasing investments in infrastructure development, smart city projects, and the growing use of GIS tools in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, driven by various government initiatives and increasing awareness of the benefits of GIS tools.

Component Analysis

The GIS tools market can be segmented by component into software, hardware, and services. The software segment is anticipated to dominate the market due to the increasing demand for advanced GIS software solutions that offer enhanced data visualization, spatial analysis, and decision-making capabilities. GIS software encompasses a wide range of applications, including mapping, spatial data analysis, and geospatial data management, making it indispensable for various industries. The continuous development of user-friendly and feature-rich software solutions is expected to drive the growth of this segment.

Hardware components in the GIS tools market include devices such as GPS units, remote sensing devices, and plotting and digitizing tools. The hardware segment is also expected to witness substantial growth, driven by the increasing use of advanced hardware devices that provide accurate and real-time spatial data. The advancements in GPS technology and the development of sophisticated remote sensing devices are key factors contributing to the growth of the hardware segment. Additionally, the integration of hardware with IoT and AI technologies is enhancing the capabilities of GIS tools, further propelling market expansion.

The services segment includes consulting, integration, maintenance, and support services related to GIS tools. This segment is expected to grow significantly, driven by the increasing demand for specialized services that help organizations effectively implement and manage GIS solutions. Consulting services assist organizations in selecting the right GIS tools and optimizing their use, while integration services ensure seamless integr

Geographic Information Systems Market in Agriculture by Offering, Application (Soil & Agricultural Mapping, Crop Monitoring, Yield Prediction, Livestock Monitoring), Sub-sector (Crop Farming, Forestry, Livestock) - Global Forecast to 2032

Agricultural Mapping Software Market Outlook

The global agricultural mapping software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.4 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% during the forecast period. This promising growth is driven by increasing adoption of precision farming techniques and the need for efficient agricultural management practices. Advances in technology, coupled with rising demand for food production, are significant factors propelling the agricultural mapping software market.

One of the primary growth factors for the agricultural mapping software market is the increasing need for precision farming. Precision farming techniques rely on detailed data collection and analysis, which is facilitated by advanced agricultural mapping software. These tools help farmers make informed decisions about planting, watering, and harvesting, thereby maximizing crop yield and resource efficiency. The emphasis on data-driven farming is expected to drive significant adoption of mapping software across the globe.

Another crucial growth factor is the rising global population, which directly correlates with the increasing demand for food. As the world population continues to grow, the pressure on agricultural systems becomes more intense. Agricultural mapping software aids in optimizing land use, monitoring crop health, and predicting yields, thus playing a pivotal role in meeting the escalating food demands. The software's ability to enhance productivity and sustainability is highly appealing to stakeholders in the agricultural sector.

Technological advancements in GIS (Geographic Information Systems) and remote sensing are also propelling the market. The integration of satellite imagery, drones, and IoT (Internet of Things) devices with agricultural mapping software enables real-time data acquisition and analysis. These technologies provide farmers with detailed insights into their fields, enabling them to detect issues early and take corrective action promptly. The continuous innovation in these technologies is expected to further boost market growth.

From a regional perspective, North America is anticipated to hold the largest market share due to the high adoption rate of advanced farming technologies and substantial investments in agricultural research. Europe follows closely, driven by stringent agricultural policies and a strong focus on sustainable farming practices. The Asia Pacific region is expected to witness the fastest growth, attributed to increasing government initiatives to modernize agriculture and substantial investments in agritech startups. Latin America and the Middle East & Africa also present significant growth opportunities due to expanding agricultural activities and adoption of modern farming techniques.

Crop Monitoring Software plays a pivotal role in the agricultural mapping software market by providing farmers with the tools necessary to maintain and enhance crop health. This software allows for continuous observation and analysis of crops, ensuring that any potential issues such as diseases, pest infestations, or nutrient deficiencies are identified early. By leveraging real-time data, farmers can make informed decisions that lead to improved crop yields and quality. The integration of Crop Monitoring Software with other agricultural technologies further enhances its capabilities, making it an indispensable tool for modern farming practices. As the demand for efficient and sustainable agriculture grows, the adoption of such software is expected to rise, contributing significantly to the market's expansion.

Component Analysis

The agricultural mapping software market by component is divided into two primary segments: software and services. The software segment encompasses a range of solutions tailored to various agricultural needs, including GIS software, remote sensing software, and farm management software. These tools are designed to collect, analyze, and interpret data to support decision-making processes in farming operations. The sophistication and variety of available software solutions are continually expanding, driven by ongoing research and development efforts in agritech.

In contrast, the services segment includes consulting, training, maintenance, and support services that complement the software solutions. As more farmers and agricultural enterprises adopt mapp

This statistic shows the percentage of agricultural operations in Canada using GIS mapping technology in 2015, by farm size. In that year, 52.7 percent of Canadian farms with 10,000 or more acres of land reported using GIS mapping.

GIS Software In Agriculture Market Outlook

The global GIS software in agriculture market size was valued at approximately USD 1.5 billion in 2023 and is projected to grow to USD 3.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.2% during the forecast period. The exponential growth in this market is primarily driven by the increasing adoption of precision farming techniques and the growing need for resource optimization in agriculture. The integration of GIS software into agricultural practices enables enhanced decision-making capabilities, significantly boosting productivity and efficiency.

One of the primary growth factors for the GIS software in agriculture market is the rising global population, which intensifies the demand for food production. With limited arable land available, farmers and agribusinesses are turning to advanced technologies like GIS software to maximize crop yields, optimize resource use, and ensure sustainable farming practices. GIS software facilitates detailed spatial analysis and mapping, allowing for better management of land resources, monitoring of crop health, and precision in irrigation practices. These capabilities are crucial to meeting the increasing food demands while maintaining ecological balance.

Another significant growth driver is the increasing awareness and implementation of precision farming techniques. Precision farming relies heavily on data collection and analysis, which can be efficiently managed through GIS software. By integrating various types of data such as soil properties, weather conditions, and crop performance, GIS software enables farmers to make data-driven decisions that can improve crop yields and reduce waste. This technology also supports variable rate application of inputs like fertilizers and pesticides, leading to cost savings and minimized environmental impact.

Government initiatives and subsidies promoting the use of advanced agricultural technologies are also contributing to the market's growth. Many governments worldwide are recognizing the potential of GIS software in improving agricultural productivity and are providing financial support to farmers and agribusinesses for the adoption of these technologies. These initiatives are particularly significant in developing regions where traditional farming methods are still prevalent. The support from governments helps lower the financial barriers for small and medium-sized enterprises, enabling broader adoption of GIS software in agriculture.

From a regional perspective, North America and Europe are leading the adoption of GIS software in agriculture due to the presence of advanced agricultural infrastructure and high levels of technological awareness among farmers. However, significant growth opportunities exist in the Asia Pacific region, where agriculture is a major economic activity. The increasing focus on sustainable farming practices and the need to enhance productivity to feed the growing population are driving the adoption of GIS software in this region. Latin America and the Middle East & Africa are also expected to witness growth, albeit at a slower pace, as the benefits of GIS technology in agriculture become more widely recognized.

Component Analysis

The GIS software in agriculture market can be segmented by component into software and services. The software segment holds a predominant share in the market due to the extensive use of various GIS applications in farming practices. GIS software assists in mapping, data analysis, and spatial data management, which are critical for precision agriculture. Advanced GIS software products come with features like real-time monitoring, predictive analytics, and integration with other agricultural technologies like drones and IoT sensors. These capabilities make GIS software indispensable for modern farming, thus driving its demand.

Services, which include consulting, implementation, and maintenance services, also play a vital role in the adoption of GIS technology in agriculture. Many farmers and agribusinesses lack the technical expertise to implement and utilize GIS software effectively. Service providers offer valuable support in terms of training, customization, and ongoing technical assistance, ensuring that users can fully leverage the benefits of GIS technology. Additionally, managed services are gaining popularity as they offer continuous monitoring and updates, ensuring optimal performance of GIS applications.

The integration of GIS software with other emerging technologies such as IoT, AI, and big data analytics i

The GIS Software in Agriculture market size reached USD 4.04 Billion in 2020 and revenue is forecasted to reach USD 10.54 Billion in 2028 registering a CAGR of 12.8%. Geographic information system software in agriculture industry report classifies global market by share, trend, growth and based on d...

A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2020 was compiled for Lake, Marion, and Orange Counties, Florida. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.

The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.

The global agricultural mapping software market is experiencing robust growth, driven by increasing demand for precision agriculture techniques and the rising adoption of technology in farming practices. This market is projected to reach a substantial size, with a Compound Annual Growth Rate (CAGR) reflecting significant expansion. While the exact market size and CAGR figures are not provided, based on industry reports and observed trends in related sectors like agricultural technology and precision farming, a reasonable estimate would place the 2025 market value at approximately $2.5 billion, growing at a CAGR of 15% from 2025 to 2033. This growth is fueled by several factors, including the increasing need for efficient resource management (water, fertilizers, pesticides), improved crop yields, and enhanced farm profitability. Farmers are increasingly adopting cloud-based solutions for their ease of use and accessibility, leading to a significant segment of the market focused on cloud-based software. Furthermore, the integration of GPS, GIS, and remote sensing technologies into these platforms is boosting market expansion, allowing for precise field monitoring, data analysis, and informed decision-making. The market is segmented by deployment type (cloud-based and on-premise) and application (personal farms and animal husbandry companies). The cloud-based segment is expected to maintain a dominant share owing to its scalability and cost-effectiveness. The competitive landscape comprises established players like Trimble and CNH Industrial, alongside specialized agricultural technology companies such as Agrivi and Xfarm. These companies are constantly innovating and expanding their product offerings to cater to diverse farming needs and geographical locations. Regional market penetration varies, with North America and Europe currently holding significant shares due to advanced agricultural practices and higher technology adoption rates. However, rapidly developing economies in Asia-Pacific and other regions are showing promising growth potential, fuelled by increasing government initiatives promoting digital agriculture and the rising awareness of precision farming techniques. Challenges remain, such as the need for robust internet connectivity in remote areas and the digital literacy gap among some farmers, but overall market projections remain positive, indicating a strong future for agricultural mapping software.

The agricultural mapping software market is experiencing robust growth, driven by the increasing adoption of precision agriculture techniques and the need for efficient farm management. The market, estimated at $1.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $4.2 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising demand for higher crop yields and improved resource utilization is compelling farmers to adopt technology-driven solutions. Agricultural mapping software provides crucial insights into field conditions, allowing for optimized planting, fertilization, and irrigation strategies, leading to significant cost savings and increased profitability. Secondly, advancements in sensor technology, GPS accuracy, and data analytics are enhancing the capabilities of agricultural mapping software, making it more accessible and user-friendly. Finally, government initiatives promoting precision agriculture and digital farming are further stimulating market growth. The market is segmented by software type (e.g., cloud-based, on-premise), application (e.g., yield mapping, soil analysis), and farm size. Key players like Trimble, CNH Industrial, and Geosys are actively shaping the market through continuous innovation and strategic partnerships. Despite the significant growth potential, certain challenges remain. High initial investment costs for software and hardware can act as a barrier to entry for small-scale farmers. Furthermore, the reliance on robust internet connectivity and technical expertise can hinder adoption in regions with limited infrastructure. However, ongoing technological advancements, coupled with the increasing availability of affordable solutions and training programs, are gradually addressing these limitations. The market will continue to witness consolidation through mergers and acquisitions, as larger players seek to expand their market share and offerings. Future growth will be particularly driven by the integration of artificial intelligence and machine learning into agricultural mapping software, enabling more predictive and insightful analytics for improved farm management.

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the fourteen counties that are fully or partially within the Suwannee River Water Management District, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field trips that started in January 2020 and concluded in December 2020, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.

The provided data (the Data) represent a raster map of agricultural profit at full equity (PFE) for Australia for the year 2005/06. Values of PFE are provided in ($/ha). PFE is a measure of profit which is calculated as the revenue from the sale of agricultural commodities minus all fixed and variable costs. This concept is based on the assumption that the land is fully owned (100% equity). The unit of PFE is $/ha. The Data are provided as a raster dataset that is compatible with ArcGIS. The spatial resolution is ~ 1km. Values provided are not for individual commodities (e.g. wheat, barley etc.) but for a set of commodity classes known as SPREAD classes (e.g. winter cereals, winter oilseeds) and broad land use categories (grazing, natural pastures etc.). The Data do not provide information with regards to the associated land use. To link values of PFE to the associated land use (SPREAD class) the Data need to be linked to the land use map of the year 2005/06 (Source: ABARE–BRS 2010. Land Use of Australia, Version 4, 2005-06 dataset).

What is NAIP?The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the contiguous U.S. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition.NAIP is administered by the USDA's Farm Production and Conservation Business Center through the Aerial Photography Field Office in Salt Lake City. The APFO as of August 16, 2020 has transitioned to the USDA FPAC-BC's Geospatial Enterprise Operations Branch (GEO). This "leaf-on" imagery is used as a base layer for GIS programs in FSA's County Service Centers, and is used to maintain the Common Land Unit (CLU) boundaries.How can I Access NAIP?On the web GEO (APFO) public image services can be accessed through the REST endpoint here. Compressed County Mosaics (CCMs) are available to the general public through the USDA Geospatial Data Gateway. All years of available imagery may be downloaded as 1/2, 1, or 2 meter CCMs depending on the original spatial resolution. CCMs with a file size larger than 8 GB are not able to be downloaded from the Gateway. Full resolution 4 band quarter quads (DOQQs) are available for purchase from FPAC GEO. Contact the GEO Customer Service Section for information on pricing for DOQQs and how to obtain CCMs larger than 8 GB. A NAIP image service is also available on ArcGIS Online through an organizational subscription.How can NAIP be used?NAIP is used by many non-FSA public and private sector customers for a wide variety of projects. A detailed study is available in the Qualitative and Quantitative Synopsis on NAIP Usage from 2004 -2008: Click here for a list of NAIP Information and Distribution Nodes.When is NAIP acquired?NAIP projects are contracted each year based upon available funding and the FSA imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was a transition year, a three-year cycle began in 2009, NAIP was on a two-year cycle until 2016, currently NAIP is on a 3 year refresh cycle. Click here >> for an interactive PDF status map of NAIP acquisitions from 2002 - 2018. 2021 acquisition status dashboard is available here.What are NAIP Specifications?NAIP imagery is currently acquired at 60cm ground sample distance (GSD) with a horizontal accuracy that matches within four meters of photo-identifiable ground control points.The default spectral resolution beginning in 2010 is four bands: Red, Green, Blue and Near Infrared.Contractually, every attempt will be made to comply with the specification of no more than 10% cloud cover per quarter quad tile, weather conditions permitting.All imagery is inspected for horizontal accuracy and tonal quality. Make Comments/Observations about current NAIP imagery.If you use NAIP imagery and have comments or find a problem with the imagery please use the NAIP Imagery Feedback Map to let us know what you find or how you are using NAIP imagery. Click here to access the map.**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**Title: National Agriculture Imagery Program (NAIP) History 2002-2021Item Type: Web Mapping Application URL Summary: Story map depicting the highlights and changes throughout the National Agriculture Imagery Program (NAIP) from 2002-2021.Notes: Prepared by: Uploaded by EMcRae_NMCDCSource: URL referencing this original map product: https://nmcdc.maps.arcgis.com/home/item.html?id=445e3dfd16c4401f95f78ad5905a4cceFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=8eb6c5e7adc54ec889dd6fc9cc2c14c4UID: 26Data Requested: Ag CensusMethod of Acquisition: Living AtlasDate Acquired: May 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 8Tags: PENDING

The Asia-Pacific Geographic Information System (GIS) Software for Agriculture Market is expected to grow at a CAGR of around 14% during the forecast period, i.e., 2022-27 says MarkNtel Advisors.

Global Precision Agriculture Market size is set to expand from $ 10.10 Billion in 2023 to $ 24.62 Billion by 2032, with CAGR of 10.4% from 2024 to 2032.

The Cropland Data Layer (CDL), hosted on CropScape, provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. The data is created annually using moderate resolution satellite imagery and extensive agricultural ground truth. Users can select a geographic area of interest or import one, then access acreage statistics for a specific year or view the change from one year to another. The data can be exported or added to the CDL. The information is useful for issues related to agricultural sustainability, biodiversity, and land cover monitoring, especially due to extreme weather events. Resources in this dataset:Resource Title: CropScape and Cropland Data Layer - National Download. File Name: Web Page, url: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php Downloads available as zipped files at https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php --

National CDL's -- by year, 2008-2020. Cropland Data Layer provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. National Cultivated Layer -- based on the most recent five years (2013-2020). National Frequency Layer -- the 2017 Crop Frequency Layer identifies crop specific planting frequency and are based on land cover information derived from the 2008 through 2020CDL's. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat. National Confidence Layer -- the Confidence Layer spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. Western/Eastern/Central U.S.

Visit https://nassgeodata.gmu.edu/CropScape/ for the interactive map including tutorials and basic instructions. These options include a "Demo Video", "Help", "Developer Guide", and "FAQ".