Results 31 to 40 of about 24,579,729 (164)

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

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

ALOS PALSAR Products Verification [PDF]

, 2007
ALOS, an enhanced successor of the Japanese Earth Resources Satellite 1 (JERS-1), was launched from JAXA’s Tanegashima Space Center in January 2006. ALOS operates from a sun-synchronous orbit at 691 km, with a 46-day recurrence cycle carrying a payload ...
K.P. Papathanassiou, Meininger, Martin, A.J. Rye, M. Zink, Marquart, Nicolas, P. Wright, M. Meininger, Wright, Patricia, B. Rosich Tell, I. Navas Traver, Zink, Manfred, P.J. Meadows, Meadows, Peter, Navas Traver, Ignacio, Rye, Anthony, Papathanassiou, Konstantinos, Rosich Tell, Betlem, Börner, Thomas, N. Marquart, T. Borner   +19 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

Interferometric Synthetic Aperture Radar (InSAR) for Monitoring Seasonal Snow

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Interferometric Synthetic Aperture Radar (InSAR) offers a potential pathway for measuring seasonal snow water equivalent (SWE) and snow depth at spatial and temporal scales needed for basin‐scale hydrology. First proposed for seasonal snow more than 25 years ago, InSAR uses repeat‐pass radar phase differences to estimate changes in SWE or ...
Jack Tarricone, Ross T. Palomaki, Randall Bonnell, Zachary Hoppinen, Shadi Oveisgharan, Jorge Jorge Ruiz, Hans‐Peter Marshall, Elias J. Deeb, Carrie Vuyovich, Steven A. Margulis, Simon Yueh, Richard R. Forster, Ryan W. Webb, Daniel McGrath, Juha Lemmetyinen, Kelly Elder, Rashmi Shah, Xiaolan Xu   +17 more
wiley   +1 more source

Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data

Remote Sensing, 2023
When a large-scale flood disaster occurs, it is important to identify the flood areas in a short time in order to effectively support the affected areas afterwards. Synthetic Aperture Radar (SAR) is promising for flood detection.
Hideomi Gokon, Fuyuki Endo, Shunichi Koshimura   +2 more
doaj   +1 more source

Assimilation of Atmospheric CO2 Concentration in the ORCHIDEE Land Surface Model: Exploring the Added Value of Explicit Forest Regrowth Representation

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract The land absorbs a large proportion of human‐induced carbon emissions, yet the spatial distribution of this carbon sink remains uncertain. Land surface models (LSMs) and atmospheric inversions often diverge on the spatial distribution of carbon sink, with models generally underestimating the northern land sink (above 30°N).
Simon Beylat, Philippe Peylin, Nina Raoult, Michael O’Sullivan, Antoine Berchet, Frederic Chevallier, Peter J. Rayner   +6 more
wiley   +1 more source

PALSAR wide-area mapping and annual monitoring methodology for Borneo [PDF]

, 2011
This paper describes the operational radar mapping processing chain developed and steps taken to produce a provisional wide-area PALSAR forest and land cover map of Borneo for the year 2007, compliant with emerging international standards (CEOS ...
Verhoeven, R., Hoekman, D.H., Vissers, M.A.M., Wielaard, N.   +3 more
core  

PRECURSORY SLOPE DEFORMATION AROUND LANDSLIDE AREA DETECTED BY INSAR THROUGHOUT JAPAN [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Interferometric Synthetic Aperture Radar (InSAR) technique is able to detect a slope deformation around landslide (e.g., Singhroy et al., 2004; Une et al., 2008; Riedel and Walther, 2008; Sato et al., 2014).
T. Nakano, K. Wada, K. Wada, M. Yamanaka, I. Kamiya, I. Kamiya, H. Nakajima   +6 more
doaj   +1 more source