Results 31 to 40 of about 17,654,311 (211)

INTEGRATING MULTI-TEMPORAL SAR IMAGES AND GPS DATA TO MONITOR THREE-DIMENSIONAL LAND SUBSIDENCE [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Synthetic aperture radar (SAR) is an effective means of monitoring land subsidence, and differential interferometric SAR (DInSAR) is commonly used to acquire the necessary data.
H. Ito, J. Susaki, T. Anahara
doaj   +1 more source

COMPARISON OF SUPERVISED CLASSIFICATION TECHNIQUES WITH ALOS PALSAR SENSOR FOR ROORKEE REGION OF UTTARAKHAND, INDIA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The Advanced Land Observing Satellite (ALOS) is developed by the Japanese Aerospace Exploration Agency (JAXA) which was launched in the year 2006 for the Earth observation and exploration purpose.
A. K. Shakya, A. Ramola, A. Kandwal, R. Prakash   +3 more
doaj   +1 more source

MODELLING THE AMOUNT OF CARBON STOCK USING REMOTE SENSING IN URBAN FOREST AND ITS RELATIONSHIP WITH LAND USE CHANGE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The estimation of biomass has been highly regarded for assessing carbon sources. In this paper, ALOS PALSAR, Sentinel-1, Sentinel-2 and ground data are used for estimating of above ground biomass (AGB) with SVM-genetic model Moreover Landsat satellite ...
N. Tavasoli, H. Arefi, S. Samiei-Esfahany, Q. Ronoud   +3 more
doaj   +1 more source

Combining L-band Synthetic Aperture Radar backscatter and TanDEM-X canopy height for forest aboveground biomass estimation

Frontiers in Forests and Global Change, 2022
Synthetic aperture radar (SAR) backscatter based above-ground biomass (AGB) estimates are limited by the saturation of the backscatter-AGB curve. This work explores the potential of combining backscatter with polarimetric SAR interferometry (PolInSAR ...
Unmesh Khati, Gulab Singh
doaj   +1 more source

The distribution and amount of carbon in the largest peatland complex in Amazonia [PDF]

, 2014
This work was funded by NERC grants NE/I021217/1 and NE/J50001X/1.Peatlands in Amazonian Peru are known to store large quantities of carbon, but there is high uncertainty in the spatial extent and total carbon stocks of these ecosystems.
Draper, FC, Torres Montenegro, Luis, Honorio Coronado, EN, Luis Torres Montenegro, Ricardo Zaráte, Roucoux, Katherine H, Mitchard, Edward T A, Honorio Coronado, Euridice N, Lahteenoja, Outi, Draper, Frederick C, Roucoux, KH, Zarate, Ricardo, Frederick C Draper, Edward T A Mitchard, Torres Montenegro, L, Euridice N Honorio Coronado, Lawson, IT, Outi Lähteenoja, Katherine H Roucoux, Roucoux, Katherine Helen, Ian T Lawson, Baker, Timothy, Lahteenoja, O, Honorio Coronado, Euridice, Draper, Frederick, Lawson, Ian Thomas, Baker, Timothy R, Zarate, R, Lawson, Ian T, Valderrama Sandoval, Elvis, Baker, TR, Valderrama Sandoval, E, Mitchard, Edward, Mitchard, ETA, Timothy R Baker, Elvis Valderrama Sandoval   +35 more
core   +1 more source

Seasonal and transient surface displacements in the Kumamoto area, Japan, associated with the 2016 Kumamoto earthquake: implications for seismic-induced groundwater level change

Earth, Planets and Space, 2020
The 2016 Kumamoto earthquake sequence on April 14 (M w 6.2) and April 16 (M w 7.0) altered the regional groundwater level. To better understand the relationship between groundwater level change and surface displacement, we estimated surface displacement ...
Kazuya Ishitsuka, Takeshi Tsuji, Weiren Lin, Makoto Kagabu, Jun Shimada   +4 more
doaj   +1 more source

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

, 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, Sonobe, Rei, Wang, Xiufeng, Tani, Hiroshi, Kojima, Yasuhito   +4 more
core   +1 more source

Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016 [PDF]

, 2019
Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band Synthetic Aperture Radar (PALSAR) HH and HV polarization data were used previously to produce annual, global 25 m forest maps between 2007 and 2010, and the latest global forest maps of 2015 ...
Boyd, Doreen S., Du, Yun, Ling, Feng, Ge, Yong, Li, Xiaodong, Foody, Giles M., Atkinson, Peter M., Atkinson, P.M., Zhang, Yihang   +8 more
core   +1 more source

Reforestication analysis using temporal NDVI and ALOS-2 PALSAR-2 polarimetric data

Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021, 2021
The article presents the results of assessing the restoration of a pine forest on a test site in the vicinity of Ulan-Ude after the 2003 fire and reforestation work. The studies were carried out on the basis of the full polarimetric information of the L-band ALOS-2 PALSAR-2 from 2017–2019.
P.N. Dagurov, A.V. Dmitriev, A.K. Baltukhaev, T.N. Chimitdorzhiev, I.I. Kirbizhekova   +4 more
openaire   +1 more source

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

Permafrost 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, Masaki Hayashi, Pablo A. Mendoza   +2 more
wiley   +1 more source