Progress and trends in the application of Google Earth and Google Earth Engine

Q Zhao, L Yu, X Li, D Peng, Y Zhang, P Gong - Remote Sensing, 2021 - mdpi.com
Earth system science has changed rapidly due to global environmental changes and the
advent of Earth observation technology. Therefore, new tools are required to monitor …

Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021

M Wang, D Mao, X Xiao, K Song, M Jia, C Ren… - Remote Sensing of …, 2023 - Elsevier
The rapid growth of coastal aquaculture has strongly supported global food security and
economic development of coastal areas in the past few decades but has also caused …

Rapid expansion of coastal aquaculture ponds in Southeast Asia: Patterns, drivers and impacts

J Luo, Z Sun, L Lu, Z Xiong, L Cui, Z Mao - Journal of Environmental …, 2022 - Elsevier
Aquaculture pond is one of the most important land use types and a main income source in
coastal zones in Southeast Asia. However, the fast expansion of aquaculture ponds …

Mapping aquaculture ponds for the coastal zone of Asia with Sentinel-1 and Sentinel-2 time series

M Ottinger, F Bachofer, J Huth, C Kuenzer - Remote Sensing, 2021 - mdpi.com
Asia dominates the world's aquaculture sector, generating almost 90 percent of its total
annual global production. Fish, shrimp, and mollusks are mainly farmed in land-based pond …

[HTML][HTML] Global mapping of the landside clustering of aquaculture ponds from dense time-series 10 m Sentinel-2 images on Google Earth Engine

Z Wang, J Zhang, X Yang, C Huang, F Su, X Liu… - International Journal of …, 2022 - Elsevier
Spatial distribution information offers a valuable resource for the growing research on
evaluating and managing aquaculture and the mechanism of its interaction with the …

Using time series sentinel-1 images for object-oriented crop classification in google earth engine

C Luo, B Qi, H Liu, D Guo, L Lu, Q Fu, Y Shao - Remote Sensing, 2021 - mdpi.com
The purpose of this study was to evaluate the feasibility and applicability of object-oriented
crop classification using Sentinel-1 images in the Google Earth Engine (GEE). In this study …

Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep Learning Model from Remote Sensing Images

Z Zou, C Chen, Z Liu, Z Zhang, J Liang, H Chen… - Remote Sensing, 2022 - mdpi.com
The main challenge in extracting coastal aquaculture ponds is how to weaken the influence
of the “same-spectrum foreign objects” effect and how to improve the definition of the …

Accurate mapping of Chinese coastal aquaculture ponds using biophysical parameters based on Sentinel-2 time series images

Y Peng, D Sengupta, Y Duan, C Chen, B Tian - Marine Pollution Bulletin, 2022 - Elsevier
Aquaculture plays a crucial role in the global food security and nutrition supply, where China
accounts for the largest market share. Although there are some studies that focus on large …

Image similarity-based gap filling method can effectively enrich surface water mapping information

W Huang, F Wang, W Duan, L Tang, J Qin… - ISPRS Journal of …, 2023 - Elsevier
Satellite monitoring is an effective way to obtain the spatiotemporal information for surface
water resources. However, due to problems such as clouds, cloud shadows, and sensor …

Mapping China's offshore mariculture based on dense time-series optical and radar data

X Liu, Z Wang, X Yang, Y Liu, B Liu… - … Journal of Digital …, 2022 - Taylor & Francis
Due to the weak information about cultural targets in the complex marine environment, an
omission problem exists in large-scale mariculture extraction using single-view and single …