Review article: Detection of inundation areas due to the 2015 Kanto and Tohoku torrential rain in Japan based on multi-temporal ALOS-2 imagery [PDF]
Torrential rain triggered by two typhoons hit the Kanto and Tohoku regions of Japan from 9 to 11 September 2015. Due to the record-breaking amount of rainfall, several riverbanks were overflowed and destroyed, causing floods over wide areas.
W. Liu, F. Yamazaki
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Palsar i Vissátvuopmi: Kartering och klassificering utifrån DEM-raster [PDF]
Palsar är torvkullar med en kärna av permafrost som förekommer i subarktiska miljöer med diskontinuerlig permafrost. Palsarna är mycket känsliga för klimatförändringar och har minskat snabbt till följd av den globala uppvärmningen, med bland annat ...
Mägi Hurtig, Ivar, Gustafsson, Ellinor
core
The distribution and amount of carbon in the largest peatland complex in Amazonia [PDF]
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 +35 more
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The Australian governmental agencies reported a total of 149 million ha forest in the Food and Agriculture Organization of the United Nations (FAO) in 2010, ranking sixth in the world, which is based on a forest definition with tree height>2 meters. Here,
Yuanwei Qin +17 more
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Removal of Ionospheric Effects from Sigma Naught Images of the ALOS/PALSAR-2 Satellite [PDF]
The monitoring of forest degradation in the Amazon through radar remote sensing methodologies has increased intensely in recent years. Synthetic aperture radar (SAR) sensors that operate in L-band have an interesting response for land use and land cover (LULC) as well as for aboveground biomass (AGB).
Fábio Furlan Gama +2 more
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Preliminary Study on the Radar Vegetation Index (RVI) Application to Actual Paddy Fields by ALOS/PALSAR Full-polarimetry SAR Data [PDF]
Kim and van Zyl (2001) proposed a kind of radar vegetation index (RVI). RVI = 4*min(λ1, λ2, λ3) / (λ1 + λ2 + λ3) They modified the equation as follows. (2009) RVI = 8 * σ0hv / (σ0hh + σ0vv +σ0hv ) by L-band full-polarimetric SAR data.
Y. Yamada
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Multi-Sensor InSAR Analysis of Progressive Land Subsidence over the Coastal City of Urayasu, Japan
In earthquake-prone areas, identifying patterns of ground deformation is important before they become latent risk factors. As one of the severely damaged areas due to the 2011 Tohoku earthquake in Japan, Urayasu City in Chiba Prefecture has been ...
Yusupujiang Aimaiti +2 more
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Above-ground biomass (AGB) estimation is important to better understand the carbon cycle and improve the efficiency of forest policy and management activities.
Sami D. Madundo +2 more
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Long-term vegetation changes in elephant-related areas of concern in Kruger National Park, South Africa. [PDF]
Abstract African elephants, whether alone or in combination with other environmental factors such as floods, droughts, fire, and other herbivores, have significant impacts on large savanna trees, often contributing to declines over time. However, their effects on woody vegetation in general remain less well understood.
Coetsee C +6 more
europepmc +2 more sources
Permafrost Distribution in the Canadian Rockies: Key Variables Influencing Patch‐Scale Variability
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

