Crop mapping using supervised machine learning and deep learning: a systematic literature review

M Alami Machichi, E mansouri, Y Imani… - … Journal of Remote …, 2023 - Taylor & Francis
The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

A robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series

B Qiu, X Hu, P Yang, Z Tang, W Wu, Z Li - ISPRS Journal of …, 2023 - Elsevier
Multiple cropping is a widespread agricultural intensification for increasing food production.
National-scale Cropping Intensity (CI) mapping is important for achieving sustainable …

[HTML][HTML] A new approach to characterising and predicting crop rotations using national-scale annual crop maps

EV Upcott, PA Henrys, JW Redhead, SG Jarvis… - Science of The Total …, 2023 - Elsevier
Cropping decisions affect the nature, timing and intensity of agricultural management
strategies. Specific crop rotations are associated with different environmental impacts, which …

Where is tea grown in the world: A robust mapping framework for agroforestry crop with knowledge graph and sentinels images

Y Peng, B Qiu, Z Tang, W Xu, P Yang, W Wu… - Remote Sensing of …, 2024 - Elsevier
Tea trees (Camellia sinensis), a quintessential homestead agroforestry crop cultivated in
over 60 countries, hold significant economic and social importance as a vital specialty cash …

Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification

B Qiu, Z Jian, P Yang, Z Tang, X Zhu, M Duan, Q Yu… - Agricultural …, 2024 - Elsevier
CONTEXT Long-term historical information on national-scale grain production is critical for
ensuring food security but often limited by the lack of geospatial data. OBJECTIVE This study …

[HTML][HTML] Cropland Data Extraction in Mekong Delta Based on Time Series Sentinel-1 Dual-Polarized Data

J Jiang, H Zhang, J Ge, C Sun, L Xu, C Wang - Remote Sensing, 2023 - mdpi.com
In recent years, synthetic aperture radar (SAR) has been a widely used data source in the
remote sensing field due to its ability to work all day and in all weather conditions. Among …

[HTML][HTML] Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and− 2 imagery

G Li, Y Mao, X Feng, Z Chen, Z Yang… - International Journal of …, 2023 - Elsevier
Abstract Synthetic Aperture Radar (SAR) images are commonly used to monitor glacier flow
velocity at Greenland Ice Sheet (GrIS). However, offset-tracking with SAR imagery in …

[HTML][HTML] Mapping cropland abandonment and distinguishing from intentional afforestation with Landsat time series

C Hong, AV Prishchepov, X Jin, Y Zhou - International Journal of Applied …, 2024 - Elsevier
Detecting cropland abandonment in a timely manner is essential to unlock the potential of
such abandoned lands, for instance, to alleviate world hunger and steer environmental …

What drives the spatial heterogeneity of cropping patterns in the Northeast China: The natural environment, the agricultural economy, or policy?

Z Yang, L Chu, C Wang, Y Pan, W Su, Y Qin… - Science of The Total …, 2023 - Elsevier
Understanding the spatiotemporal dynamic of crop cover types and the driving forces of
cropping patterns in the Northeast China (NEC) is essential for establishing suitable and …

[HTML][HTML] Cropping intensity map of China with 10 m spatial resolution from analyses of time-series Landsat-7/8 and Sentinel-2 images

L Liu, S Kang, X Xiong, Y Qin, J Wang, Z Liu… - International Journal of …, 2023 - Elsevier
Cropping intensity maps at high spatial resolution play a crucial role in guiding agricultural
policies and ensuring food security. So far, most of nationwide cropping intensity maps have …