Phenology-assisted supervised paddy rice map** 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 map** for the whole European Union (EU) is necessary for
the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in …

[HTML][HTML] Map** 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 …

Maps of crop** patterns in China during 2015–2021

B Qiu, X Hu, C Chen, Z Tang, P Yang, X Zhu, C Yan… - Scientific data, 2022 - nature.com
Multiple crop** is a widespread approach for intensifying crop production through
rotations of diverse crops. Maps of crop** intensity with crop descriptions are important for …

An enhanced pixel-based phenological feature for accurate paddy rice map** 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 map** with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …

Rapid early-season maize map** without crop labels

N You, J Dong, J Li, J Huang, Z ** - 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 map** benefits maize …

An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type map** using Sentinel-2 imagery

Y Wang, L Feng, Z Zhang, F Tian - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
Accurate crop type map** is essential for crop growth monitoring and yield estimation.
Recently, various machine learning methods have been increasingly used for crop type …

[HTML][HTML] An interactive and iterative method for crop map** 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 map**, yet the interpretation
of satellite imageries requires for a large amount of labeled data as ground truth information …

[HTML][HTML] Performance assessment of machine learning algorithms for map** of land use/land cover using remote sensing data

Z Zafar, M Zubair, Y Zha, S Fahd, AA Nadeem - The Egyptian Journal of …, 2024 - Elsevier
The rapid increase in population accelerates the rate of change of Land use/Land cover
(LULC) in various parts of the world. This phenomenon caused a huge strain for natural …

Early-and in-season crop type map** without current-year ground truth: Generating labels from historical information via a topology-based approach

C Lin, L Zhong, XP Song, J Dong, DB Lobell… - Remote Sensing of …, 2022 - Elsevier
Land cover classification in remote sensing is often faced with the challenge of limited
ground truth labels. Incorporating historical ground information has the potential to …