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[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 review of satellite-based global agricultural monitoring systems available for Africa
The increasing frequency and severity of extreme climatic events and their impacts are
being realized in many regions of the world, particularly in smallholder crop and livestock …
being realized in many regions of the world, particularly in smallholder crop and livestock …
Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity
Many global environmental agendas, including halting biodiversity loss, reversing land
degradation, and limiting climate change, depend upon retaining forests with high …
degradation, and limiting climate change, depend upon retaining forests with high …
Map** 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 …
Fertilizer and grain prices constrain food production in sub-Saharan Africa
Crop yields across sub-Saharan Africa are much lower than what is attainable given the
environmental conditions and available technologies. Closing this 'ecological yield gap'is …
environmental conditions and available technologies. Closing this 'ecological yield gap'is …
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 …
Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples
Training samples is fundamental for crop map** from remotely sensed images, but difficult
to acquire in many regions through ground survey, causing significant challenge for crop …
to acquire in many regions through ground survey, causing significant challenge for crop …
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft …
Streamflow forecasting is essential for effective water resource planning and early warning
systems. Streamflow and related parameters are often characterized by uncertainties and …
systems. Streamflow and related parameters are often characterized by uncertainties and …
Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine …
Cropland products are of great importance in water and food security assessments,
especially in South Asia, which is home to nearly 2 billion people and 230 million hectares …
especially in South Asia, which is home to nearly 2 billion people and 230 million hectares …
Map** plantations in Myanmar by fusing Landsat-8, Sentinel-2 and Sentinel-1 data along with systematic error quantification
Forests in Southeast Asia are experiencing some of the highest rates of deforestation and
degradation in the world, with natural forest species being replaced by cropland and …
degradation in the world, with natural forest species being replaced by cropland and …