Results 91 to 100 of about 37,271 (209)

Assessing Causes and Consequences of Winter Surface Water Dynamics in California's Central Valley Using Satellite Remote Sensing

open access: yesJournal of Flood Risk Management
California's Central Valley is increasingly vulnerable to winter floods. A comprehensive spatial baseline of flood extents is critical for inundation analyses that can enhance future flood predictions, but cloud cover has prevented the regular ...
Christine M. Albano   +10 more
doaj   +1 more source

How to determine the leaf area index (LAI) of forests: A comparison of forest inventory versus satellite-driven estimates

open access: yesForest Ecosystems
Leaf area index (LAI) is a key measure of forest stand physiology and biomass production, and is essential within ecosystem modeling. There are two common approaches to obtaining LAI: (i) terrestrial forest inventory-based “bottom–up”, and (ii) satellite-
Muhammed Sinan, Hubert Hasenauer
doaj   +1 more source

MODIS Atmospheric Data Handler [PDF]

open access: yes
The Moderate Resolution Imaging Spectroradiometer (MODIS) Atmosphere Data Handler software converts the HDF data to ASCII format, and outputs: (1) atmospheric profiles of temperature and dew point and (2) total precipitable water.
Anantharaj, Valentine   +1 more
core   +1 more source

Estimating potential soil erosion for environmental services in a sugarcane growing area using multisource remote sensing data [PDF]

open access: yes, 2013
Characterization of landscapes is crucial in modelling potential soil erosion to ascertain environmental services that are provided by the main land use in the ecosystem. Remote sensing techniques have proved successful in characterization of landscapes.
Bégué, Agnès   +4 more
core  

The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 1998
The first Moderate Resolution Imaging Spectroradiometer (MODIS) instrument is planned for launch by NASA in 1998. This instrument will provide a new and improved capability for terrestrial satellite remote sensing aimed at meeting the needs of global change research.
Justice, Christopher O   +22 more
openaire   +2 more sources

Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images

open access: yesGeo-spatial Information Science
Cotton is one of the most significant cash crops in the world, and it is also the main source of natural fiber for textiles. It is crucial for cotton management to identify the spatiotemporal distribution of cotton planting areas timely and accurately on
Zhuting Tan   +3 more
doaj   +1 more source

Recomendações para a geração de composições de máximo valor a partir de imagens AVHRR/NOAA. [PDF]

open access: yes, 2017
As imagens de satélite são uma fonte importante de informações sobre a superfície terrestre, pois sua visão sinóptica, temporal e multiespectral auxilia no entendimento dos processos que ocorrem nos ecossistemas terrestres.
ESQUERDO, J. C. D. M.
core  

Using the right slope of the 970 nm absorption feature for estimating canopy water content [PDF]

open access: yes, 2009
Canopy water content (CWC) is important for understanding the functioning of terrestrial ecosystems. Biogeochemical processes like photosynthesis, transpiration and net primary production are related to foliar water.
Clevers, J.G.P.W.   +2 more
core   +1 more source

Caracterização espectral multitemporal dos cereais de estação fria em imagens de satélite com média resolução espacial Multitemporal spectral characterization of cool season cereals in satellite images with moderate spatial resolution

open access: yesCiência Rural, 2010
A fim de avaliar os padrões de resposta de áreas cultivadas com cereais de estação fria destinados para pastagens e para produção de grãos em imagens de satélite, foram analisados perfis temporais de índice de vegetação por diferença normalizada (NDVI ...
Eliana Lima da Fonseca   +2 more
doaj  

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