Results 41 to 50 of about 14,645 (100)

Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning

International Journal of Digital Earth
Earthquake Triggered Landslides (ETLs) are serious secondary hazards of earthquakes, causing severe casualties and property losses, and their rapid, automated and accurate detection is of great value. Due to the all-day and all-weather imaging capability
Lifu Chen, Zengqi Li, Chuang Song, Jin Xing, Xingmin Cai, Zhenhuan Fang, Ru Luo, Zhenhong Li   +7 more
doaj   +1 more source

Influence of flooding underneath the Amazon rainforest on Sentinel-1 backscatter [PDF]

, 2023
Felix Cremer, Nora Linscheid, Miguel D. Mahecha, Mikhail Urbazaev, J Truckenbrodt, Christiane Schmullius, Christian Thiel   +6 more
openalex   +1 more source

Automatic Coastline Extraction Using Radar and Optical Satellite Imagery and Wavelet-IHS Fusion Method

International Journal of Coastal and Offshore Engineering, 2018
The coastline is defined as an edge or land margin by the sea. Managing such ecological environments in terms of continuous changes requires monitoring at different intervals.
Hasan Mirsane, Yaser Maghsoudi, Rohollah Emadi, Majid Mostafavi   +3 more
doaj  

Inversion of surface soil moisture under vegetated areas based on optical and microwave remote sensing data

Guan'gai paishui xuebao
【Objective】 The effects of Vertical-Vertical (VV) polarization, Vertical-Horizontal (VH) polarization, and dual polarization on microwave remote sensing retrieval of surface soil moisture (0-10 cm) were investigated.
ZHOU Meiling, ZHANG Dening, WANG Hao, WEI Zheng, LIN Rencai   +4 more
doaj   +1 more source

Combination of Linear Regression Lines to Understand the Response of Sentinel-1 Dual Polarization SAR Data with Crop Phenology—Case Study in Miyazaki, Japan

Remote Sensing, 2020
This study investigated the relationship between backscattering coefficients of a synthetic aperture radar (SAR) and the four biophysical parameters of rice crops—plant height, green vegetation cover, leaf area index, and total dry biomass. A paddy
Emal Wali, Masahiro Tasumi, Masao Moriyama   +2 more
doaj   +1 more source

Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion

Remote Sensing, 2020
The fusion of microwave and optical data sets is expected to provide great potential for the derivation of forest cover around the globe. As Sentinel-1 and Sentinel-2 are now both operating in twin mode, they can provide an unprecedented data source to ...
Kai Heckel, Marcel Urban, Patrick Schratz, Miguel D. Mahecha, Christiane Schmullius   +4 more
doaj   +1 more source

Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data [PDF]

, 2023
Patrick Kacic, Frank Thonfeld, Ursula Geßner, Claudia Kuenzer   +3 more
openalex   +1 more source

Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products [PDF]

, 2022
Farzane Mohseni, S. Mohammad Mirmazloumi, Mehdi Mokhtarzade, Sadegh Jamali, Saeid Homayouni   +4 more
openalex   +1 more source

Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models [PDF]

, 2023
Jamal Ezzahar, Abdelghani Chehbouni, Nadia Ouaadi, Mohammed Madiafi, Saïd Khabba, Salah Er‐Raki, Ahmed Laamrani, Adnane Chakir, Zohra Lili‐Chabaane, Mehrez Zribi   +9 more
openalex   +1 more source

Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability: A Case Study of a Massive Dobkovičky Landslide, Czech Republic

Remote Sensing, 2019
Single-pair differential synthetic aperture radar interferometry (DInSAR) as well as more advanced methods, such as persistent scatterer interferometry (PSI), allow vertical displacements to be detected at the sub-centimeter level.
Kateřina Fárová, Jan Jelének, Veronika Kopačková-Strnadová, Petr Kycl   +3 more
doaj   +1 more source