57 citations as recorded by crossref.

1. Spatial and Temporal Changes of Wetlands on the Tibetan Plateau Between 1990 and 2020 M. Zhao et al. 10.1109/JSTARS.2024.3495709
2. Analysis of mangrove dynamics and its protection effect in the Guangdong-Hong Kong-Macao Coastal Area based on the Google Earth Engine platform J. Zeng et al. 10.3389/fmars.2023.1170587
3. GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020 X. Zhang et al. 10.5194/essd-15-265-2023
4. Coastal wetland degradation and ecosystem service value change in the Yellow River Delta, China J. Yan et al. 10.1016/j.gecco.2023.e02501
5. An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach B. Li et al. 10.5194/essd-15-2347-2023
6. Simulating potential impacts of climate change on the habitats and carbon benefits of mangroves in China C. Xu et al. 10.1016/j.gecco.2024.e03048
7. Policy instruments as a trigger for urban sprawl deceleration: monitoring the stability and transformations of green areas K. Filepné Kovács et al. 10.1038/s41598-024-52637-9
8. GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method X. Zhang et al. 10.5194/essd-16-1353-2024
9. Potential of Sample Migration and Explainable Machine Learning Model for Monitoring Spatiotemporal Changes of Wetland Plant Communities K. Feng et al. 10.1109/JSTARS.2024.3399791
10. National Scale Land Cover Classification Using the Semiautomatic High-Quality Reference Sample Generation (HRSG) Method and an Adaptive Supervised Classification Scheme A. Naboureh et al. 10.1109/JSTARS.2023.3241620
11. Geospatial Analysis of Relief Degree of Land Surface in the Forest-Steppe Ecotone in Northern China L. Hu et al. 10.3390/f15071122
12. A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing Y. Wang et al. 10.1016/j.isprsjprs.2023.11.014
13. GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative X. Li et al. 10.1080/17538947.2024.2364683
14. Fine-Resolution Wetland Mapping in the Yellow River Basin Using Sentinel-1/2 Data via Zoning-Based Random Forest with Remote Sensing Feature Preferences X. Huo & Z. Niu 10.3390/w16172415
15. An automatically recursive feature elimination method based on threshold decision in random forest classification C. Chen et al. 10.1080/10095020.2024.2387457
16. Agreement Analysis and Accuracy Assessment of Multiple Mangrove Datasets in Guangxi Beibu Gulf and Guangdong-Hong Kong-Macau Greater Bay, China, for 2000–2020 Z. Xiao et al. 10.1109/JSTARS.2024.3353251
17. An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine X. Chen et al. 10.1080/15481603.2024.2422930
18. Coastal Wetlands in the Anthropocene J. Day et al. 10.1146/annurev-environ-121922-041109
19. Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review R. Cavalli 10.3390/rs16030446
20. Biomarker analysis revealed tidal organic carbon input enhanced soil respiration and weakened carbon sequestration function of estuarine wetland: Field validation of the Jiuduansha Wetland in the Yangtze River estuary H. Dong et al. 10.1016/j.geoderma.2024.117134
21. A dataset of spatio-temporal variations in the Pinglu Canal region from 2000 to 2023 Z. GAN et al. 10.11922/11-6035.csd.2024.0010.zh
22. Dynamic Integrated Ecological Assessment along the Corridor of the Sichuan–Tibet Railway C. Ji et al. 10.3390/land13060857
23. A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information X. Li et al. 10.3390/rs15225328
24. Mapping global non-floodplain wetlands C. Lane et al. 10.5194/essd-15-2927-2023
25. First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data W. Sun et al. 10.1007/s11430-023-1366-8
26. Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985–2020 Using Fine-Resolution Remote Sensing Datasets W. Liu et al. 10.3390/rs16060978
27. Vegetation Classification and Evaluation of Yancheng Coastal Wetlands Based on Random Forest Algorithm from Sentinel-2 Images Y. Wang et al. 10.3390/rs16071124
28. The Wetland Intrinsic Potential tool: mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators M. Halabisky et al. 10.5194/hess-27-3687-2023
29. Potential of agrivoltaics in ASEAN considering a scenario where agroforestry expansion is also pursued B. Johnson et al. 10.1016/j.resconrec.2024.107808
30. Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) H. Liu et al. 10.1080/15481603.2023.2286746
31. Mapping and classification of Liao River Delta coastal wetland based on time series and multi-source GaoFen images using stacking ensemble model H. Qian et al. 10.1016/j.ecoinf.2024.102488
32. A Satellite View of the Wetland Transformation Path and Associated Drivers in the Greater Bay Area of China during the Past Four Decades K. Sun & W. Yu 10.3390/rs16061047
33. Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method H. Yu et al. 10.1007/s11069-023-06324-z
34. The distribution of global tidal marshes from Earth observation data T. Worthington et al. 10.1111/geb.13852
35. Spatiotemporal Variations in Urban Wetlands in Kazakhstan: A Case of the Taldykol Lake System in Astana City M. Baigaliyeva et al. 10.3390/su16167077
36. 基于多源多特征遥感数据的南美洲10米空间分辨率湿地制图 伟. 孙 et al. 10.1360/N072023-0255
37. Assessing the Trade-off between Ecological Conservation and Local Development in Wuyishan National Park: A Production–Living–Ecological Space Perspective X. Du et al. 10.3390/f15071152
38. Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022 X. Zhang et al. 10.1038/s41597-024-03143-0
39. Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery C. Fan et al. 10.3390/rs15092413
40. Revealing future effectiveness of protected areas for biodiversity conservation in the Guangdong-Hong Kong-Macao Greater Bay Area F. Lin et al. 10.1016/j.landurbplan.2024.105260
41. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset G. Bessardon et al. 10.3390/land13111811
42. Land cover dataset of the China Central-Asia West-Asia Economic Corridor from 1993 to 2018 A. Naboureh et al. 10.1038/s41597-023-02623-z
43. Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning M. Zhang et al. 10.1080/10095020.2024.2336604
44. Spatiotemporal Dynamics and Driving Factors of Ecosystem Services in the Yellow River Delta, China S. Xue et al. 10.3390/su16083466
45. Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery Y. Deng et al. 10.1080/17538947.2023.2241428
46. Assessing urban wetlands dynamics in Wuhan and Nanchang, China Y. Deng et al. 10.1016/j.scitotenv.2023.165777
47. Distribution and Storage Characteristics of Soil Organic Carbon in Tidal Wetland of Dandou Sea, Guangxi M. Wang et al. 10.3390/atmos15040431
48. Evaluation of Remote Sensing Products for Wetland Mapping in the Irtysh River Basin K. Luo et al. 10.3390/geosciences14010014
49. Automated Mapping of Global 30-m Tidal Flats Using Time-Series Landsat Imagery: Algorithm and Products X. Zhang et al. 10.34133/remotesensing.0091
50. Feasibility of spectro-polarimetric measurement in separating reflection components for improving water contaminant determination A. Mohamed Thaheer & Y. Takahashi 10.1016/j.scitotenv.2024.177590
51. Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images C. Zhang et al. 10.1016/j.jenvman.2023.119618
52. A highly efficient index for robust mapping of tidal flats from sentinel-2 images directly P. Tang et al. 10.1016/j.isprsjprs.2024.10.005
53. An improved approach for retrieval of tidal flat elevation based on inundation frequency X. Zhang et al. 10.1016/j.ecss.2024.109061
54. Fine Extraction of Plateau Wetlands Based on a Combination of Object-Oriented Machine Learning and Ecological Rules: A Case Study of Dianchi Basin F. Cai et al. 10.1109/JSTARS.2024.3356656
55. Integration of ecological knowledge with Google Earth Engine for diverse wetland sampling in global mapping X. Huo et al. 10.1016/j.jag.2024.104249
56. Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat–Tide–Semantic Segmentation Approach for Mangrove Mapping Z. Sun et al. 10.3390/rs15225271
57. Precise mapping of coastal wetlands using time-series remote sensing images and deep learning model L. Ke et al. 10.3389/ffgc.2024.1409985