Zobrazeno 1 - 10
of 2 141
pro vyhledávání: '"sar data"'
Publikováno v:
Natural Hazards Research, Vol 4, Iss 3, Pp 470-485 (2024)
Social vulnerability assessment is a dynamic process, which varies from place to place. In the present study, the social vulnerability index (SVI) of Malda district has been prepared because of several impacts of flood inundation. The flood inundatio
Externí odkaz:
https://doaj.org/article/95f87d474a4348c5bef1783b32e5395a
Autor:
Songxin Tan
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
The detection of groundwater is essential not only for scientific research but also for agricultural purposes. This research aims to improve the accuracy and reliability of detecting ground standing water in cropland during the spring/early summer se
Externí odkaz:
https://doaj.org/article/2bd320126d6f4cd1b7cf365bee728735
Autor:
Hongwu Liang, Guli Japaer, Tao Yu, Liancheng Zhang, Bojian Chen, Kaixiong Lin, Tongwei Ju, Yongyu Zhao, Ting Pei, Yimuranzi Aizizi
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102882- (2024)
Digital soil mapping (DSM) based on remote sensing is the dominant method for soil monitoring. Currently, the global modeling strategy (GMS) is used in most soil mapping studies. In the GMS, it is assumed that the relationship between soil and the la
Externí odkaz:
https://doaj.org/article/c31ee0ff04084013a0ba1cd2c136453f
Autor:
Yin Zhang, Ding-Feng Duan
Publikováno v:
Journal of Electronic Science and Technology, Vol 22, Iss 3, Pp 100263- (2024)
We estimate tree heights using polarimetric interferometric synthetic aperture radar (PolInSAR) data constructed by the dual-polarization (dual-pol) SAR data and random volume over the ground (RVoG) model. Considering the Sentinel-1 SAR dual-pol (SVV
Externí odkaz:
https://doaj.org/article/2ce2f14ba5d943698cb36733d453b586
Akademický článek
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Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104028- (2024)
Deep learning is widely applied in synthetic aperture radar (SAR) target recognition. However, the high cost of collecting real SAR target data leads to insufficient data volume and diversity of SAR target datasets, making it challenging to support d
Externí odkaz:
https://doaj.org/article/8ff8c41abff04447b87dd728d6d312aa
Autor:
Aljahdali Mohammed H., Adisu Baradin, Adem Esubalew, Chaabani Anis, Boteva Silvena, Zhang Lifu, Elhag Mohamed
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 403-20 (2024)
Normalized difference vegetation index (NDVI) is one of the parameters of vegetation that can be studied by remote sensing of land surface with Sentinel-2 (S-2) satellite image. The NDVI is a nondimensional index that depicts the difference in plant
Externí odkaz:
https://doaj.org/article/0eee29493dfd4e9dae6c62a8e2d72b10
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2428 (2024)
The article presents the results of significance analyses of selected mining and geological variables for an area of underground mining activity. The study area was a region of an underground copper ore mine located in southwest Poland. The input dat
Externí odkaz:
https://doaj.org/article/303ab73440a34652b5e00abc27c98189
Autor:
Christian Albert Alonzo, Joanna Mae Galabay, Margadrew Nicole Macatangay, Mark Brianne Magpayo, Ryan Ramirez
Publikováno v:
AgriEngineering, Vol 5, Iss 2, Pp 720-739 (2023)
Drought has been known to be a natural hazard reflecting geographic and climatic characteristics. Satellite technology advancements have benefited drought assessment and monitoring to formulate plans for dealing with this slow-onset disaster. However
Externí odkaz:
https://doaj.org/article/9a9f3944f9a24a16988d018036560d5b
Publikováno v:
Sensors, Vol 24, Iss 11, p 3618 (2024)
Multi-source remote sensing-derived information on crops contributes significantly to agricultural monitoring, assessment, and management. In Africa, some challenges (i.e., small-scale farming practices associated with diverse crop types and agricult
Externí odkaz:
https://doaj.org/article/8f48d4fbd7f1487999444d517df792b4