Classification of JERS-1 Image Mosaic of Central Africa Using a Supervised Multiscale Classifier of Texture Features
In this paper, a multiscale approach is introduced to classify the JERS-1 mosaic image over the Central Africa rainforest.
Africa↗
Engineering topics
Saatchi, S.
Publications and source records attributed to Saatchi, S..
Relating Vegetation Aerodynamic Roughness Length to Interferometric SAR Measurements
In this paper, we investigate the feasibility of estimating aerodynamic roughness parameter from interferometric SAR (INSAR) measurements.
aerodynamic↗
Estimation of Crown and Stem Water Content and Biomass of Boreal Forest Using Polarimetric SAR Imagery
Characterization of boreal forests in ecosystem models requires temporal and spatial distributions of water content and biomass over local and regional scales. In this paper, we report on the use of a semi-empirical algorithm for deriving these parameters from polarimetric synthetic aperture radar measurements.
boreal↗
Mapping Aquatic and Agricultural Vegetation of Altiplano Using Spaceborne Radar Imagery
In this paper, a detailed analysis of L-band and C-band multipolarization spaceborne radar data for classification of agricultural and aquatic vegetation is performed.
sensing↗
Comparison of Remote Sensing Techniques for Measuring Carbon Sequestration
Different methods of using remote sensing to measure carbon sequestration were compared during this study.
carbon sequestration remote sensing SAR Optical/IR↗
Mapping Land Cover Types in Amazon Basin Using 1km JERS-1 Mosaic
During the Global Rain Forest (GRFM) project, JERS-1 SAR satellite was used to map the humid tropical forests of the world.
JERS-1↗
Estimating Subcanopy Soil Moisture with RADAR
The subcanopy soil moisture of a boreal old jack pine forest is estimated using polarimetric L- and P-band AIRSAR data. Model simulations have shown that for this stand, the principal scattering mechanism responsible for radar backscatter is the double-bounce mechanism between the tree trunks and the ground.
radar soil moisture vegetation non-linear estimati↗
Detection, Estimation and Correction of Faraday Rotation in Linearly Polarized SAR Backscatter Signatures
The effect of Faraday rotation on linearly polarized backscatter measurements from space is addressed.
SAR Faraday Rotation backscatter signatures↗
Mapping Forest Fragments in Atlantic Coastal Moist Forest of Bahia, Brazil: A Case Study for Conservation and Biodiversity
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plantations↗
Application of Radar Remote Sensing in Mapping and Monitoring Tropical Forest Types in Amazon Basin
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widespread land-use change deforestation terrestri↗
Relating Vegetatin Aerodynamic Roughness Length to Interferometric SAR Measurements
UNKNOWN
soil-vegetation-atmosphere↗
A Hybrid Algorithm for Estimating Boreal Forest Canopy Parameters from Polarimetric and Interferometric SAR
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hybrid algorithm canopy polarimetric interferometr↗
Estimation of Moisture Content of Forest Canopy and Floor from SAR Data Part II: Trunk-Ground Double-Bounce Case
Several scattering mechanisms contribute to the total radar backscatter cross section measured by the synthetic aperture radar. These are volume scattering, trunk-ground double-bounce scattering, branch-ground double-bounce scattering, and surface scattering. All of these mechanisms are directly related to the dielectric constant of forest components responsible for that mechanism and their moisture.
Forest Canopy moisture content forest floor synthe↗
Estimation of Moisture Content of Forest Canopy and Floor from SAR Data Part I: Volume Scattering Case
To understand and predict the functioning of forest biomes, their interaction with the atmosphere, and their growth rates, the knowledge of moisture content of their canopy and the floor soil is essential. The synthetic aperture radar on airborne and spaceborne platforms has proven to be a flexible tool for measuring electromagnetic back- scattering properties of vegetation related to their moisture content.
Forest Canopy moisture content forest floor synthe↗
Inversion of Moisture Content of Forest Canopy and Floor from SAR Data
Several scattering mechanisms contribute to the total radar backscatter cross section measured by the synthetic aperture radar. These are volume scattering, trunk-ground double-bounce scattering, branch-ground double-bounce scattering, and surface scattering. All of these mechanisms are directly related to the dielectric constant of forest components responsible for that mechanism and their moisture.
sensing↗
Monitoring Tree Moisture Using an Inversion Algorithm Applied to SAR Data from BOREAS
During several field campaigns in spring and summer of '94, the NASA/JPL air-borne sythetic aperature radar (AIRSAR) collected data over the southern and northern study sites of BOREAS. Among the areas over which radar data were collected was the young jack pine tower site, which is generally characterized as have shot but closely space trees with a dense crown layer.
forest canopy moisture↗
Monitoring Canopy Moisture Using an Inversion Algorithm Applied to SAR Data from Boreas
During several intensive field campaigns in 1993 & 1994, the JPL airborne synthetic aperture radar obtained multifrequency polarimetric radar data over various areas in the Canadian boreal forest designated as primary BOREAS study sites. These were part of a major remote sensing effort geared toward studying the interaction of the forest biome and the atmosphere to identify their role in global change.
Forest Canopy moisture content BOREAS synthetic ap↗