Results 121 to 130 of about 19,903 (238)

Estimating snow cover area in south of Turkey using the Normalized Difference Snow Index (NDSI) form MODIS Satellite Images

Journal of Physics: Conference Series, 2019
Abstract Snow and Ice–cover area information is important for a wide variety of scientific climate studies, water source and management applications. The NASA Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) satellite, provides improved capabilities to observe snow-ice coverarea from space and has been ...
openaire   +1 more source

Snow Cover Maps from MODIS Images at 250 m Resolution, Part 1: Algorithm Description

Remote Sensing, 2013
A new algorithm for snow cover monitoring at 250 m resolution based on Moderate Resolution Imaging Spectroradiometer (MODIS) images is presented. In contrast to the 500 m resolution MODIS snow products of NASA (MOD10 and MYD10), the main goal was to ...
Claudia Notarnicola, Martial Duguay, Nico Moelg, Thomas Schellenberger, Anke Tetzlaff, Roberto Monsorno, Armin Costa, Christian Steurer, Marc Zebisch   +8 more
doaj   +1 more source

Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d'Ivoire [PDF]

, 2016
BACKGROUND: In Côte d'Ivoire, malaria remains a major public health issue, and thus a priority to be tackled. The aim of this study was to identify spatially explicit indicators of Plasmodium falciparum infection among school-aged children and to ...
Assi, Serge-Brice, Chammartin, Frédérique, Fantodji, Agathe, Houngbedji, Clarisse A., Hürlimann, Eveline, Koudou, Benjamin G., N'Dri, Prisca B., N'Goran, Eliézer K., Raso, Giovanna, Silué, Kigbafori D., Soro, Gotianwa, Utzinger, Jürg, Vounatsou, Penelope, Yapi, Richard B.   +13 more
core   +5 more sources

Minimal Sample, Maximum Insight: DNA Metabarcoding Uncovers the Diet of Endangered Dholes in Central India

Environmental DNA, Volume 8, Issue 3, May–June 2026.
We evaluated the efficiency of a minimal sampling approach for DNA metabarcoding and developed a novel single‐amplicon workflow. Using fecal DNA, we identified vertebrate prey and characterized spatio‐temporal variation in the diet of the endangered dhole (also known as Asiatic wild dog, Cuon alpinus) in central India.
Abhinav Tyagi, Alex M., Prajakta Hushangabadkar, Nandkishor Kale, Jitendra Ramgaokar, Uma Ramakrishnan   +5 more
wiley   +1 more source

Temporal Feature Selection with Symbolic Regression [PDF]

, 2017
Building and discovering useful features when constructing machine learning models is the central task for the machine learning practitioner. Good features are useful not only in increasing the predictive power of a model but also in illuminating the ...
Fusting, Christopher Winter
core   +1 more source

Annual survival in a dynamic species: pronghorn survival patterns across their northern range

Wildlife Biology, Volume 2026, Issue 3, May 2026.
Quantifying variation in demographic patterns, such as survival and recruitment, is critical for understanding population dynamics and informing evidence‐based and adaptive wildlife management. In this study, we leverage an extensive dataset from over 1000 GPS collared pronghorn Antilocapra americana to provide the first large‐scale evaluation of ...
Molly C. McDevitt, Anna K. Moeller, Andrew J. Lindbloom, Kelly Proffitt, Joshua J. Millspaugh, Paul M. Lukacs   +5 more
wiley   +1 more source

Combined Retrieval of Cloud Parameters for TEMPO Measurements Over Canada Using Oxygen Dimer and B Band Absorption

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Tropospheric Emissions: Monitoring of Pollution (TEMPO) provides valuable hourly measurements of airborne pollutants over North America. Data quality over snowy surfaces may degrade due to difficulty in accurately characterizing surface reflectivity and cloud properties, as snow and cloud are both highly reflective and therefore challenging to
Lukas Fehr, Adam Bourassa, Doug Degenstein, Daniel Zawada, Chris McLinden, Debora Griffin, Caroline Nowlan, Heesung Chong, Huiqun Wang   +8 more
wiley   +1 more source

A remote sensing approach for measuring climatic change effects on snow cover dynamics [PDF]

The Cryosphere
Climate change (CC) is significantly impacting the snow cover of the European Alps, compromising hydrological cycles, water stock for agricultural and civil supply, winter tourism.
F. Parizia, F. Parizia, S. De Petris, L. Perotti, L. Perotti, M. Giardino, M. Giardino, E. Borgogno-Mondino   +7 more
doaj   +1 more source

Intercomparison of Methods for Disentangling Local and Nonlocal Biophysical Impacts of Land Cover Changes

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract The climatic impacts of land cover changes (LCCs) due to altered biophysical properties include local effects in LCC areas and nonlocal effects in both LCC and non‐LCC areas resulting from atmospheric feedback. The biophysical impacts of LCC simulated by climate models typically represent only the total effects, that is, the sum of local and ...
Zijun Zhao, Yan Li, Ru Xu, Ronny Meier, Laibao Liu, Liang Chen, Lei Zhao, Yiqing Liu, Shuangshuang Zi, Difei Zhao   +9 more
wiley   +1 more source

Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring ...
Florian M. Hellwig, Anke Fluhrer, Clémence Dubois, Konstantin Schellenberg, David Chaparro, Markus Zehner, Anne Klosterhalfen, María Piles, Christiane Schmullius, Harald Kunstmann, Thomas Jagdhuber   +10 more
wiley   +1 more source