The future of global land change monitoring
XP Song - International Journal of Digital Earth, 2023 - Taylor & Francis
Land change science co-evolves with remote sensing technology. The world has witnessed
an exponential growth in Earth observation satellites since 1972, and concurrently, land …
an exponential growth in Earth observation satellites since 1972, and concurrently, land …
A robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series
Multiple cropping is a widespread agricultural intensification for increasing food production.
National-scale Cropping Intensity (CI) mapping is important for achieving sustainable …
National-scale Cropping Intensity (CI) mapping is important for achieving sustainable …
[HTML][HTML] WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping
K Van Tricht, J Degerickx, S Gilliams… - Earth System …, 2023 - essd.copernicus.org
The challenge of global food security in the face of population growth, conflict, and climate
change requires a comprehensive understanding of cropped areas, irrigation practices, and …
change requires a comprehensive understanding of cropped areas, irrigation practices, and …
National-scale 10-m maps of cropland use intensity in China during 2018–2023
The amount of actively cultivated land in China is increasingly threatened by rapid
urbanization and rural population aging. Quantifying the extent and changes of active …
urbanization and rural population aging. Quantifying the extent and changes of active …
A generalized model for mapping sunflower areas using Sentinel-1 SAR data
Existing crop mapping models, rely heavily on reference (calibration) data obtained from
remote sensing observations. However, the transferability of such models in space and time …
remote sensing observations. However, the transferability of such models in space and time …
A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples
Accurate and timely information on the spatial distribution and areas of crop types is critical
for yield estimation, agricultural management, and sustainable development. However …
for yield estimation, agricultural management, and sustainable development. However …
A new transferable deep learning approach for crop mapping
H Che, Y Pan, X Xia, X Zhu, L Li, Y Huang… - GIScience & Remote …, 2024 - Taylor & Francis
Accurate crop mapping provides important information for government decision-making and
agricultural management. Recent advancements in deep learning have significantly …
agricultural management. Recent advancements in deep learning have significantly …
[HTML][HTML] Estimation of sunflower planted areas in Ukraine during full-scale Russian invasion: Insights from Sentinel-1 SAR data.
Data limitations and attributability issues due to the full-scale Russian invasion of Ukraine in
February 2022 presents continuing challenges in assessing production of major commodity …
February 2022 presents continuing challenges in assessing production of major commodity …
[HTML][HTML] ChinaSoyArea10m: a dataset of soybean-planting areas with a spatial resolution of 10 m across China from 2017 to 2021
Soybean, an essential food crop, has witnessed a steady rise in demand in recent years.
There is a lack of high-resolution annual maps depicting soybean-planting areas in China …
There is a lack of high-resolution annual maps depicting soybean-planting areas in China …
[HTML][HTML] Hierarchical building use classification from multiple modalities with a multi-label multimodal transformer network
Building use information is important for urban planning, city digital twins, and informed
policy formulation. Prior research has predominantly focused on mapping building use in …
policy formulation. Prior research has predominantly focused on mapping building use in …