Wetland mapping in East Asia by two-stage object-based Random Forest and hierarchical decision tree algorithms on Sentinel-1/2 images

M Wang, D Mao, Y Wang, X Xiao, H Xiang… - Remote Sensing of …, 2023 - Elsevier
Accurate information on wetland extent in East Asia is essential to assess progress towards
Sustainable Development Goals (SDGs) and the use of wetland resources, where wetlands …

[HTML][HTML] From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2

B Qiu, D Lin, C Chen, P Yang, Z Tang, Z Jin… - International Journal of …, 2022 - Elsevier
Detailed and updated maps of actively cropped fields on a national scale are vital for global
food security. Unfortunately, this information is not provided in existing land cover datasets …

Delineation of orchard, vineyard, and olive trees based on phenology metrics derived from time series of Sentinel-2

MA Abubakar, A Chanzy, F Flamain, G Pouget… - Remote Sensing, 2023 - mdpi.com
This study aimed to propose an accurate and cost-effective analytical approach for the
delineation of fruit trees in orchards, vineyards, and olive groves in Southern France …

Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network

Z Chang, H Li, D Chen, Y Liu, C Zou, J Chen, W Han… - Remote Sensing, 2023 - mdpi.com
Remote sensing technology has become a popular tool for crop classification, but it faces
challenges in accurately identifying crops in areas with fragmented land plots and complex …

A lightweight winter wheat planting area extraction model based on improved DeepLabv3+ and CBAM

Y Zhang, H Wang, J Liu, X Zhao, Y Lu, T Qu, H Tian… - Remote Sensing, 2023 - mdpi.com
This paper focuses on the problems of inaccurate extraction of winter wheat edges from high-
resolution images, misclassification and omission due to intraclass differences as well as the …

Interannual changes of urban wetlands in China's major cities from 1985 to 2022

M Wang, D Mao, Y Wang, H Li, J Zhen, H Xiang… - ISPRS Journal of …, 2024 - Elsevier
With global climate change and accelerating urbanization, accurate and timely extent
information on urban wetlands is extremely important for sustainable urban development …

Estimation of Winter Wheat Yield using multiple temporal vegetation indices derived from UAV-Based multispectral and hyperspectral imagery

Y Liu, L Sun, B Liu, Y Wu, J Ma, W Zhang, B Wang… - Remote Sensing, 2023 - mdpi.com
Winter wheat is a major food source for the inhabitants of North China. However, its yield is
affected by drought stress during the growing period. Hence, it is necessary to develop …

A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples

Z Cai, B Xu, Q Yu, X Zhang, J Yang, H Wei, S Li… - ISPRS Journal of …, 2024 - Elsevier
Accurate and timely information on the spatial distribution and areas of crop types is critical
for yield estimation, agricultural management, and sustainable development. However …

Deep learning with multi-scale temporal hybrid structure for robust crop mapping

P Tang, J Chanussot, S Guo, W Zhang, L Qie… - ISPRS Journal of …, 2024 - Elsevier
Large-scale crop mapping from dense time-series images is a difficult task and becomes
even more challenging with the cloud coverage. Current deep learning models frequently …

A Spatial Distribution Extraction Method for Winter Wheat Based on Improved U-Net

J Liu, H Wang, Y Zhang, X Zhao, T Qu, H Tian, Y Lu… - Remote Sensing, 2023 - mdpi.com
This paper focuses on the problems of omission, misclassification, and inter-adhesion due to
overly dense distribution, intraclass diversity, and interclass variability when extracting …