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Mapping of boreal forest's type, structure parameters and biomass are critical for understanding the boreal forest's significance in the carbon cycle, its response to and impact on global climate change. The biggest deficiency of the existing ground based forest inventories is the uncertainty in the inventory data, particularly in remote areas of Siberia where sampling is sparse, lacking, and often...
In this paper, we report on a process-based approach to estimate leaf chlorophyll content from hyperspectral remote sensing imagery. Extensive field and laboratory measurements were conducted for ten sites in black spruce (Picea mariana) forests near Sudbury, Ontario, Canada in 2003 and 2004. Leaf optical spectra and chlorophyll content, leaf and canopy biophysical parameters, and forest background...
The Global Land Cover 2000 (GLC 200) project, as a most recent issue, is to provide for the year 2000 a harmonized land cover database over the whole globe. The classifications were performed according to continental or regional scales by corresponding organization using the data of VEGETATION sensor onboard the SPOT4 Satellite. Even if The Global land cover classification for Asia provided by Chiba...
Unsupervised change detection analysis of multitemporal Landsat imagery of the Chernobyl exclusion zone shows that the extent of the impact of the accident at the Chernobyl nuclear power station on the regional land cover was limited and that the long-term effect is dominated by natural 'greening' of the area.
In this paper, we analyse the potential associated with a compact polarimetry (CP) P band spaceborne SAR system. Indeed, this architecture allows polarimetric acquisition without the usual reduction in swath. The CP data is shown to be almost equivalent to the full polarimetric data over extended targets, and the PolInSAR analysis can be performed without a significant loss of performance.
Crop yield data is a key indicator for national food security and sustainable development of society. Winter wheat is one of the most important main crops and Huanghuaihai Plain is the most important productive region in North China. So, the authors had a research on regional yield prediction for winter wheat based on crop biomass estimation using multi-source data in the Plain. In this paper, the...
Landcover classification is essential in studies of landcover change, climate, hydrology, carbon sequestration, and yield prediction. The potential for using NASA's MODIS sensor at 250-meter resolution was investigated for USDA's operational programs. This research was conducted over Iowa and Illinois to classify corn and soybean crops. Multitemporal 8-day composite 250-meter-resolution surface reflectance...
This paper discusses the use of a JERS-1 synthetic aperture radar (SAR) time-series for mapping and monitoring land cover in a test site in the region of Corumbiara, Rondonia State, western Brazilian Amazonia. In order to support JERS-1 data analysis, land cover maps were obtained by digital classification of Landsat TM images acquired from 1993 to 1997 period, following a procedure based on image...
Mountain-basin system (MBS) is the basic pattern of natural heterogeneity and regionalization in North-western China, and its big extent, multi-Layer and regular complex of terrestrial ecosystems in Northern Tianshan Mountains, Xinjiang, China, is the basin and frame to form this kind of pattern. To support regional sustainable development both on theory and practice, more and more vulnerability assessments...
A first evaluation of ALOS PALSAR data for forest stem volume estimation has been performed at a coniferous dominated test site in Sweden. In total, 7 Fine Beam Single polarization (FBS, look angle 34.3deg, HH-polarization) and 7 Polarimetric (PLR, look angle 21.5deg, HH-, HV-, VH-, and W- polarization) SAR images were used. In total, 56 forest stands with stem volume in the range of 45-650 m3 ha"1...
The main objective of this study was to identify areas of deforestation/reforestation in the Middle-Atlas cedar forest and monitor their temporal dynamics. The aim was to detect a detailed "from-to" change information; it targets a quantitative estimation of the extent and the magnitude of the changes affecting major identified species of the Moroccan cedar ecosystem: cedar, oak, and deciduous...
Species in genus Tamarix are widely used for wind breaks and desertification control. Tamarix spp. have played an important role in protection and improvement of desert environments of the Minqin Oasis. However, during past five decades, the succession of Tamarix forests in the peripheral areas of Minqin desert showed a direction towards more and more arid communities, due to the effect of successive...
In this study, vegetation cover type classification was investigated using CHRIS data over agricultural scenes acquired across the 2004 growing season. Spectral indices sensitive to crop chlorophyll content and leaf area index were first calculated from CHRIS nadir data in May, June and July. The seasonality of these indices was analyzed and employed to identify crop types in the study area. To further...
This paper aims at presenting the usefulness of combining satellite optical data from the visible and infrared wavelengths with longer wavelength radar data for land cover mapping in Portugal. This is a ground-breaking study in a geographical region that does not experience continuous intra- annual dreadful atmospheric contamination that commonly justifies radar usage. In this study we exploit the...
This article describes the SYKE's approach to change detection using high and medium resolution satellite images and present experiences concerning change detection. If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical...
This paper describes the routine generation of ASAR mosaics at ESRIN and their distribution via Web map servers. ASAR products are automatically collected from various processing sites to be geocoded and mosaicked on the GRID Processing on Demand system at ESRIN. New mosaics are automatically transferred to an OpenGIS Web map server where they can be directly visualized at full resolution by external...
In this paper, the result obtained on two forest stands of poplar (Populus alba) and pine (Pinus italica) in Italy, by using multi-frequency microwave radiometers, are described. Measurements were performed at L, C, X, Ku and Ka bands at different incidence angles, both in H and V polarizations, by using microwave radiometers mounted on an hydraulic boom. The sensitivity of L-band emission to woody...
The study investigates the possibilities to improve the performance of CERES-Wheat crop growth model by assimilating information derived by optical and SAR Earth observation data. Biophysical parameter retrieval was done with the water cloud model for SAR data and the CLAIR model was applied to multispectral imagery. The CERES -Wheat model was calibrated using ground truth information. The re-initialization...
In agriculture, soil and crop conditions change from day to day and throughout the growing season. Agricultural targets also vary spatially with differences observed from field to field, as well as within individual fields. The heterogeneity of corn-growing conditions in Mexico makes accurate data for crop type, crop condition and crop yield prediction difficult to obtain. Yield predictions are needed...
Most paddy rice in southern China grows in warm, humid and rainy areas where it is hard to acquire optical remote sensing data. In this study, a semi-empirical backscattering model was proposed to estimate leaf area index (LAI) of rice in the area using ENVISAT Advanced Synthetic Aperture Radar (ASAR) alternating polarization data. Ground measurements of LAI, water content and height of rice in the...
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