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The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot [PDF]

International Journal of Applied Earth Observation and Geoinformation, 2023
Segmentation is an essential step for remote sensing image processing. This study aims to advance the application of the Segment Anything Model (SAM), an innovative image segmentation model by Meta AI, in the field of remote sensing image analysis.
L. Osco, Qiusheng Wu, Eduardo Lopes de Lemos, W. Gonçalves, A. Ramos, Jonathan Li, J. Marcato   +6 more
semanticscholar   +1 more source

Remote sensing experiments for earth system science

International Journal of Digital Earth, 2021
The Earth system is an integrated system that can be divided into six main subsystems: geosphere, atmosphere, hydrosphere, cryosphere, biosphere, and anthrosphere.
Tianjie Zhao, Michael H. Cosh, Alexandre Roy, Xihan Mu, Yubao Qiu, Jiancheng Shi 0001   +5 more
openaire   +3 more sources

The Earth seen from Space by Radar Remote Sensing - a Vision for 2025 [PDF]

, 2012
In a changing and dynamic world, high-resolution and timely geospatial information with global access and coverage becomes increasingly important. Constellations of radar satellites will play a major role in this task, since spaceborne radar is the only ...
Alberto Moreira, Moreira, Alberto
core   +1 more source

Assessing Spatial and Temporal Patterns of Observed Ground-level Ozone in China

Scientific Reports, 2017
Elevated ground-level ozone (O3), which is an important aspect of air quality related to public health, has been causing increasing concern. This study investigated the spatiotemporal distribution of ground-level O3 concentrations in China using a ...
Wan-Nan Wang, Tian-Hai Cheng, Xing-Fa Gu, Hao Chen, Hong Guo, Ying Wang, Fang-Wen Bao, Shuai-Yi Shi, Bin-Ren Xu, Xin Zuo, Can Meng, Xiao-Chuan Zhang   +11 more
doaj   +1 more source

Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database

Earth Science Informatics, 2023
Since its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly and has played a significant role in the global remote sensing community.
Binh Pham-Duc, H. Nguyen, Hien Phan, Quan Tran-Anh   +3 more
semanticscholar   +1 more source

Long-term snow disasters during 1982–2012 in the Tibetan Plateau using satellite data

Geomatics, Natural Hazards & Risk, 2017
Taking the Tibetan Plateau (TP) as a study area, we developed an algorithm to generate long-term four-level snow disaster products (1982–2012) using a new daily snow depth product with a spatial resolution of 0.05° using AVHRR archival reflectance ...
Hang Yin, Chunxiang Cao, Min Xu, Wei Chen, Xiliang Ni, Xuejuan Chen   +5 more
doaj   +1 more source

Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data

Scientific Reports, 2018
Analysis of cloud cover and its diurnal variation over the Tibetan Plateau (TP) is highly reliant on satellite data; however, the accuracy of cloud detection from both polar-orbiting and geostationary satellites over this area remains unclear.
Huazhe Shang, Husi Letu, Takashi Y. Nakajima, Ziming Wang, Run Ma, Tianxing Wang, Yonghui Lei, Dabin Ji, Shenshen Li, Jiancheng Shi   +9 more
doaj   +1 more source

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

Remote Sensing, 2022
The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 and SRTM) and medium (Sentinel-2 and ALOS) spatial resolution ...
Sepideh Tavakkoli Piralilou, Golzar Einali, O. Ghorbanzadeh, Thimmaiah Gudiyangada Nachappa, Khalil Gholamnia, T. Blaschke, Pedram Ghamisi   +6 more
semanticscholar   +1 more source

Technique for validating remote sensing products of water quality [PDF]

, 2008
Remote sensing of water quality is initiated as an additional part of the on going activities of the EAGLE2006 project. Within this context intensive in-situ and airborne measurements campaigns were carried out over the Wolderwijd and Veluwemeer ...
Salama, S., Vekerdy, Zoltán, Abouali, M., Verhoef, W., Monbaliu, J., Su, Z., Mannaerts, C. M.   +6 more
core   +1 more source

Forward a spatio-temporal trend surface for long-term ground-measured albedo upscaling over heterogeneous land surface

International Journal of Digital Earth, 2018
Upscaling ground albedo is challenged by the serious discrepancy between the heterogeneity of land surfaces and the small number of ground-based measurements.
Xiaodan Wu, Jianguang Wen, Qing Xiao, Dongqin You, Qiang Liu, Xingwen Lin   +5 more
doaj   +1 more source