ESTIMATING SOIL MOISTURE BY SENTINEL-1, SENTINEL-2 AND PRISMA DATA: ASSESSMENT OF RESULTS AND COMPARISON WITH IN-SITU MEASUREMENTS

被引：1
|
作者：
Nico, Giovanni [1 ]
Masci, Olimpia [2 ]
Mira, Nuno Cirne [3 ,4 ]
Catalao, Joao [3 ]
Mateus, Pedro [3 ]
机构：
[1] Consiglio Nazl Ric CNR, Ist Applicaz Calcolo IAC, Bari, Italy
[2] DIAN Srl, Matera, Italy
[3] Univ Lisbon, Inst Dom Luiz, Fac Ciencias, Lisbon, Portugal
[4] Mil Acad Res Ctr CINAMIL, Amadora, Portugal
来源：
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年
关键词：
Soil moisture (SM); PRISMA; Sentinel-2; Sentinel-1; SAR Interferometry (InSAR);
D O I：
10.1109/IGARSS52108.2023.10283034
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Results of an experiment aiming to estimate soil moisture (SM) using indexes based on hyperspectral and multispectral data, and decorrelation phase from SAR interferometry are presented. SM estimates are compared with in-situ measurements of SM. The issue of spaceborne and in-situ datasets not overlapping in time is studied. Results are obtained using PRISMA, Sentinel-1 and Sentinel-2 data.
引用
收藏
页码：2645 / 2648
页数：4
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