Results 51 to 60 of about 29,803 (208)

Pixel-Based Geometric Assessment of Channel Networks/Orders Derived from Global Spaceborne Digital Elevation Models

open access: yesRemote Sensing, 2019
Digital Elevation Models (DEMs) contribute to geomorphological and hydrological applications. DEMs can be derived using different remote sensing-based datasets, such as Interferometric Synthetic Aperture Radar (InSAR) (e.g., Advanced Land Observing ...
Mohamed Shawky   +3 more
doaj   +1 more source

Very Local Subsidence Near the Hot Spring Region in Hakone Volcano, Japan, Inferred from InSAR Time Series Analysis of ALOS/PALSAR Data

open access: yesRemote Sensing, 2020
Monitoring of surface displacement by satellite-based interferometric synthetic aperture radar (InSAR) analysis is an effective method for detecting land subsidence in areas where routes of leveling measurements are undeveloped, such as mountainous areas.
R. Doke, George Kikugawa, K. Itadera
semanticscholar   +1 more source

To the question on accuracy of forest heights’ measurements by the TanDEM-X radar interferometry data [PDF]

open access: yesСибирский лесной журнал, 2016
The paper presents the validation results of the InSAR method for determining the forest canopy height, based on TanDEM-X and ALOS PALSAR data. The research conducted on the territory of the Baikal-Kudara forest area of the Republic of Buryatia (52°10'N,
T. N. Chimitdorzhiev   +5 more
doaj   +1 more source

Extreme Learning Machine-based Crop Classification using ALOS/PALSAR Images [PDF]

open access: yes, 2015
Classification maps are required for agricultural management and the estimation of agricultural disaster compensation. The extreme learning machine (ELM), a newly developed single hidden layer neural network is used as a supervised classifier for remote ...
Kobayashi, Nobuyuki   +4 more
core   +1 more source

Flood Inundation Potential Analysis in Denpasar City Using Topographic Wetness Index from Digital Elevation Model

open access: yesRekayasa Hijau: Jurnal Teknologi Ramah Lingkungan
ABSTRAK Banjir genangan sering terjadi di wilayah perkotaan, termasuk Kota Denpasar, akibat topografi, karakteristik daerah aliran sungai (DAS), dan perubahan penggunaan lahan. Penelitian ini bertujuan mengidentifikasi potensi genangan banjir menggunakan
Akbar Cahyadhi Pratama Putra   +4 more
doaj   +1 more source

Permafrost Distribution in the Canadian Rockies: Key Variables Influencing Patch‐Scale Variability

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT The spatial distribution of permafrost in mountainous regions is influenced by various factors such as topography, climate, vegetation, and substrate. Despite the existence of comprehensive permafrost maps at national and global levels, they fail to accurately represent the patch‐scale (e.g., < 25 m) permafrost distribution in characteristic ...
Gerardo Zegers   +2 more
wiley   +1 more source

Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data

open access: yesRemote Sensing, 2020
We discriminated different successional forest stages, forest degradation, and land use classes in the Tapajós National Forest (TNF), located in the Central Brazilian Amazon.
N. C. Wiederkehr   +8 more
semanticscholar   +1 more source

Soil erosion responses to climate change in a tropical monsoon‐dominated river basin ‐ A geospatial perspective

open access: yesRiver, EarlyView.
Climate change is projected to intensify soil erosion in the Chalakkudy River Basin, with bare lands and steep uplands emerging as the most vulnerable hotspots under high‐emission scenarios. Forested areas showed greater resistance to soil erosion, highlighting the importance of targeted soil conservation for sustainable watershed management in ...
Sisira Uppengal   +4 more
wiley   +1 more source

SBAS-InSAR analysis for deformation monitoring in landslide-prone areas: A case study of Murang’a and Nyeri Counties in Kenya

open access: yesNova Geodesia
Mass movement events impact thousands globally, causing loss of life, displacement of people and destruction of farmland and infrastructure, among other devastating impacts.
Alex M. YUMBU, Patroba A. ODERA
doaj   +1 more source

Multifrequency and Full-Polarimetric SAR Assessment for Estimating Above Ground Biomass and Leaf Area Index in the Amazon Várzea Wetlands

open access: yesRemote Sensing, 2018
The aim of this study is to evaluate the potential of multifrequency and Full-polarimetric Synthetic Aperture Radar (SAR) data for retrieving both Above Ground Biomass (AGB) and Leaf Area Index (LAI) in the Amazon floodplain forest environment.
Luciana O. Pereira   +5 more
doaj   +1 more source

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