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Polarimetric SAR interferometry (Pol-InSAR) is a powerful remote sensing method for forest height estimation by using the random volume over ground model (RVoG). At higher frequencies implementation of forest height estimation in X band is limited to less dense and low forest types where X band is able to penetrate through the volume to the ground. However, the penetration depth at X band is insufficient...
In previous work, we have demonstrated that the semi-empirical model Transformed Difference Vegetation Index (TDVI) is less sensitive to soil optical properties variation, and more suitable for estimating the fraction of vegetation cover in forest and agricultural environment. This paper reports on a comparative study between TDVI, Normalized Difference Vegetation Index (NDVI), and the Soil Adjusted...
A working group of three institutions was set up to develop this study: University of Applied Sciences Eberswalde (Germany), National Institute for Space Research (INPE, Brazil) and National Institute for Amazon Research (INPA, Brazil). The main task is to apply in the Guarayos region (Bolivia), the multi- temporal change detection algorithm "RCEN multi-spectral". The study area is located...
In the present study a spatial model, which combines GIS with artificial neural networks, has been developed for forecasting changes in land use. The model has been parameterized for the island of Lesvos (NE Greece) for the time period between 1975 and 1999 and employs an artificial neural network for predicting the patterns of development of the island's urban areas and olive groves, based on a series...
Backscattering coefficients and phase-difference statistics of a wet-land rice field in Suwon, Korea are measured using a ground-based polarimetric scatterometer at 1.9 and 5.3 GHz throughout a growth year from transplanting period to harvest period (May to October in 2006). The ground truth data including bio-mass, plant height, and leaf-area index (LAI) are also collected for each measurement. The...
The oasis vegetation evapotranspiration (ET) is a sensitive factor for the arid land surface water-heat exchange caused by land cover changes, which is very important on the feedback between terrestrial ecosystems and climate change. Evapotranspiration in Keriya Oasis of the Tarim Basin was calculated and spatially exhibited in this study by integrating remote sensing data into the Surface Energy...
In support of Phase A work on the proposed Hyperspectral Environment and Resource Observer (HERO) mission, the sensitivity of chlorophyll concentrations derived from vegetation red-edge analysis to a spectrally dependent error in the radiometric calibration of the hyperspectral data is investigated. A typical ground-based reflectance spectrum taken from a boreal forest Aspen leaf is converted to top-of-atmosphere...
In this paper the potentiality of polarimetric P-band SAR data for Amazon tropical forest land cover mapping is assessed. The classifying approach is based on the Iterative Conditional Mode (ICM) algorithm, taking into account several specific distributions to SAR data. Distinct land cover classes are modeled considering different distributions. The results show that the P-band data is not capable...
The aim of this work is to perform a direct validation of fraction of vegetation cover (FVC), leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR) resulting products from applying the LSA SAF methodology to VEGETATION BRDF data. LSA SAF adapted algorithms were tested in adequate test sites comprising different continental biomes covering a wide range of FVC, LAI...
This paper introduces a reference sample database that is being developed by the Remote Sensing Unit of the Portuguese Geographic Institute for the accuracy assessment of medium scale land cover products in Portugal. The goal is to provide the worldwide remote sensing community with sufficient data for the accurate estimation of overall and per class proportions of correctly classified area in regional...
The USGS and NASA, in conjunction with Colorado State University, George Mason University and other partners, have developed the Invasive Species Forecasting System (ISFS), a flexible tool that capitalizes on NASA's remote sensing resource to produce dynamic habitat maps of invasive terrestrial plant species across the United States. In 2006 ISFS was adopted to generate predictive invasive habitat...
Soil erosion is a major environmental problem worldwide, threatening the human sustainable development. Global water erosion and wind erosion affect 1094 and 549 Mha, respectively. Soil erosion concerns multi factors, for example, land cover, climate, vegetation cover, topographic factors. Soil erosion is also different in different spatial and temporal scales. To monitor and assess the extent of...
Recently, various attempts have been undertaken to obtain information about the structure of forested areas from multi-baseline synthetic aperture radar data. Tomographic processing of such data has been demonstrated but the quality of the focused tomographic image is limited by several factors. In particular Fourier-based focusing methods are susceptible to irregular and sparse sampling, two problems,...
Remote sensing is an important and effective tool for mapping and monitoring wetland vegetation condition and change. Because providing more spatial characteristics except spectral information, high spatial resolution images have become the main source for resources and environmental management and application. However, the conventional pixel-oriented image analysis techniques have much difficult...
Vegetation cover is of great significance in understanding climate change process due to its vital role in controlling water and carbon cycles. The properties of vegetation's surfaces are usually estimated by remotely sensed data through regression models or physical-based models, which simulates the interactions of solar radiation with the vegetation medium. In real domain, the spectral responses...
Urban land use/cover mapping is very important and it is the base and foundation of further urban analysis and research. Whereas urban land use/cover mapping of using medium spatial resolution remotely sensed images presents numerous challenges due to the intensive heterogeneity of urban landscapes. In order to solve the above challenges and improve the accuracy of urban land cover/use mapping, we...
Deforestation is a result of complex causality chains in most cases. But identification of limited number of factors shall provide comprehensive general understanding of the vital phenomenon at broad scale, as well as projection for the future. Only two factors - human population and relief energy (difference of minimum altitude from the maximum in a sampled area) - were found to give sufficient elucidation...
Forest biomass mapping was studied in a site in northern Finland (latitude 66deg). Two JERS SAR scenes that were acquired in a dry period were used. Locally derived linear regression models between forest stem volume and L-band SAR amplitude produced correlation coefficients of 0.7. An earlier regression model, which had been derived in a site in southern Finland, produced under-estimates of approximately...
Changes in land cover system represent a key variable in managing and understanding the environment, as well as driving many environmental assessment mechanisms such as hydrological models for large river basins water budgeting. Remote sensing can provide information on the spatial pattern of land cover features, but analysis and classification of such imagery primarily suffers from the problem of...
The ALOS Kyoto & Carbon Initiative is an international collaborative project led by the JAXA Earth Observation Research Center (EORC). It forms the continuation of JAXA's on-going JERS-1 SAR Global Rain Forest and Global Boreal Forest Mapping project(GRFM/GBFM) into the era of the Advanced Land Observation Satellite (ALOS). The ALOS K & C Initiative has been set up to support the data and...
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