Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to …

C Zhang, H Zhang, S Tian - Computers and Electronics in Agriculture, 2023 - Elsevier
Accurate spatial distribution maps of paddy rice played crucial roles in food security and
market stability. Decades-spanning Landsat images were useful for long-term paddy rice …

[HTML][HTML] From parcel to continental scale–A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

R d'Andrimont, A Verhegghen, G Lemoine… - Remote sensing of …, 2021 - Elsevier
Detailed parcel-level crop type mapping for the whole European Union (EU) is necessary for
the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in …

[HTML][HTML] Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification

F Xuan, Y Dong, J Li, X Li, W Su, X Huang… - International Journal of …, 2023 - Elsevier
Northeast China is one of the most major grain banks in China and has an overwhelming
influence on food security. To mitigate the challenges caused by increasing food demands …

An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine

R Ni, J Tian, X Li, D Yin, J Li, H Gong, J Zhang… - ISPRS Journal of …, 2021 - Elsevier
Accurate paddy rice mapping with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …

[HTML][HTML] An interactive and iterative method for crop mapping through crowdsourcing optimized field samples

Q Yu, Y Duan, Q Wu, Y Liu, C Wen, J Qian… - International Journal of …, 2023 - Elsevier
Remote sensing appears as an essential approach for crop mapping, yet the interpretation
of satellite imageries requires for a large amount of labeled data as ground truth information …

Rapid early-season maize mapping without crop labels

N You, J Dong, J Li, J Huang, Z Jin - Remote Sensing of Environment, 2023 - Elsevier
Maize (Zea mays), the second most-produced crop worldwide, serves as the cornerstone for
global food security and human livelihood. Early-season maize mapping benefits maize …

[HTML][HTML] 10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product

KH Tran, HK Zhang, JT McMaine, X Zhang… - International Journal of …, 2022 - Elsevier
The 30 m resolution US Department of Agriculture (USDA) crop data layer (CDL) is a widely
used crop type map for agricultural management and assessment, environmental impact …

Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020

J Han, Z Zhang, Y Luo, J Cao, L Zhang, H Zhuang… - Agricultural …, 2022 - Elsevier
CONTEXT Timely information on the spatiotemporal trends in annual paddy rice planting
areas (PRA) and cropping intensity (CI) in Asia is important for food security warnings and …

Cotton classification method at the county scale based on multi-features and random forest feature selection algorithm and classifier

H Fei, Z Fan, C Wang, N Zhang, T Wang, R Chen… - Remote Sensing, 2022 - mdpi.com
Accurate cotton maps are crucial for monitoring cotton growth and precision management.
The paper proposed a county-scale cotton mapping method by using random forest (RF) …

Mapping 20 years of irrigated croplands in China using MODIS and statistics and existing irrigation products

C Zhang, J Dong, Q Ge - Scientific Data, 2022 - nature.com
As a routine agricultural practice, irrigation is fundamental to protect crops from water
scarcity and ensure food security in China. However, consistent and reliable maps about the …