Remote sensing and crop** practices: A review
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …
[HTML][HTML] Finer-resolution map** of global land cover: Recent developments, consistency analysis, and prospects
Land-cover map** is one of the foundations of Earth science. As a result of the combined
efforts of many scientists, numerous global land-cover (GLC) products with a resolution of 30 …
efforts of many scientists, numerous global land-cover (GLC) products with a resolution of 30 …
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
L Yang, S **, P Danielson, C Homer, L Gass… - ISPRS journal of …, 2018 - Elsevier
Abstract The US Geological Survey (USGS), in partnership with several federal agencies,
has developed and released four National Land Cover Database (NLCD) products over the …
has developed and released four National Land Cover Database (NLCD) products over the …
[HTML][HTML] A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud …
Map** high resolution (30-m or better) cropland extent over very large areas such as
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
Automated cropland map** of continental Africa using Google Earth Engine cloud computing
J ** using satellite-derived remotely sensed data
remains a challenge in Africa because of the heterogeneous and fragmental landscape …
remains a challenge in Africa because of the heterogeneous and fragmental landscape …
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth …
J ** cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine …
Cropland extent maps are useful components for assessing food security. Ideally, such
products are a useful addition to countrywide agricultural statistics since they are not …
products are a useful addition to countrywide agricultural statistics since they are not …
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the …
ABSTRACT The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has
a staggering 900 million people (~ 43% of the population) who face food insecurity or severe …
a staggering 900 million people (~ 43% of the population) who face food insecurity or severe …
Map** croplands, crop** patterns, and crop types using MODIS time-series data
The importance of map** regional and global cropland distribution in timely ways has
been recognized, but separation of crop types and multiple crop** patterns is challenging …
been recognized, but separation of crop types and multiple crop** patterns is challenging …
How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products
Abstract Knowledge of irrigation is essential for ensuring food and water security, and to
cope with the scarcity of water resources, which is expected to exacerbate under the …
cope with the scarcity of water resources, which is expected to exacerbate under the …