Results 31 to 40 of about 686,669 (305)

Thirty-Year Analyses of Seasonal NDVI and Climatic Drivers Across Different Land Cover Types and Biogeographical Regions in Europe

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Monitoring and analyzing vegetation trends and their climatic drivers are useful to understand the possible impacts of climate change on vegetation. In this study, we analyzed normalized difference vegetation index (NDVI) trends at 1 km2 resolution for ...
Christina Eisfelder, Soner Ureyen, Sarah Asam, Andreas Hirner, Philipp Reiners, Juliane Huth, Felix Bachofer, Martin Bachmann, Stefanie Holzwarth, Claudia Kuenzer   +9 more
doaj   +1 more source

Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing [PDF]

, 2013
Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such ...
Ahmed, Anthes, Atjay, Avery, Baskerville, Blackard, Buonaccorsi, Chave, Crow, Crow, DeFries, Fisher, Freedman, Frieswyk, Gertner, Hall, Hocker, Honer, Jenkins, Jenkins, Jokela, Kathleen Bergen, Ker, Ker, Kindermann, Lambert, Mandelbrot, Niklas, Osawa, Parresol, Pastor, Pastor, Paul Siqueira, Perala, Phillips, Razi Ahmed, Rosenqvist, Schmitt, Scott Hensley, Smith, Stout, Ter-Mikaelian, Toan, Tritton, West, Whittaker, Wiant, Young, Zeide   +48 more
core   +3 more sources

Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility

International Journal of Health Geographics, 2023
Background The negative effect of air pollution on human health is widely reported in recent literature. It typically involves urbanized areas where the population is concentrated and where most primary air pollutants are produced. A comprehensive health
Lorenza Gilardi, Mattia Marconcini, Annekatrin Metz-Marconcini, Thomas Esch, Thilo Erbertseder   +4 more
doaj   +1 more source

Selection of unlabeled source domains for domain adaptation in remote sensing

Array, 2022
—In the context of supervised learning techniques, it can be desirable to utilize existing prior knowledge from a source domain to estimate a target variable in a target domain by exploiting the concept of domain adaptation. This is done to alleviate the
Christian Geiß, Alexander Rabuske, Patrick Aravena Pelizari, Stefan Bauer, Hannes Taubenböck   +4 more
doaj   +1 more source

Object-Guided Remote Sensing Image Scene Classification Based on Joint Use of Deep-Learning Classifier and Detector

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang, Weidong Yan, Weiping Ni, Xifeng Pu, Han Zhang, Maoyu Zhang   +5 more
doaj   +1 more source

APOLLO_NG – a probabilistic interpretation of the APOLLO legacy for AVHRR heritage channels [PDF]

Atmospheric Measurement Techniques, 2015
The cloud processing scheme APOLLO (AVHRR Processing scheme Over cLouds, Land and Ocean) has been in use for cloud detection and cloud property retrieval since the late 1980s.
L. Klüser, N. Killius, G. Gesell
doaj   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Time-series analysis of Sentinel-1/2 data for flood detection using a discrete global grid system and seasonal decomposition

International Journal of Applied Earth Observations and Geoinformation, 2023
Automated flood detection using earth observation data is a crucial task for efficient flood disaster management. Current solutions to identify flooded areas usually rely on calculating the difference between new observations and static, pre-calculated ...
Florian Fichtner, Nico Mandery, Marc Wieland, Sandro Groth, Sandro Martinis, Torsten Riedlinger   +5 more
doaj   +1 more source

Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data [PDF]

, 2018
Remote-sensing technology is widely used in environmental monitoring. The coverage and resolution of satellite based data provide scientists with great opportunities to study and understand environmental change.
Gong, Mengyi, Miller, Claire, Scott, Marian   +2 more
core  

The value of remote sensing techniques in supporting effective extrapolation across multiple marine spatial scales [PDF]

, 2017
The reporting of ecological phenomena and environmental status routinely required point observations, collected with traditional sampling approaches to be extrapolated to larger reporting scales.
Elliott, Michael, Strong, James Asa
core   +1 more source