Showing papers in "International Journal of Applied Earth Observation and Geoinformation in 2011"

TL;DR: Comparison to independent GPS data indicates RMS agreement between the two techniques of 6.9 mm/year, about the level expected based on joint data uncertainty, suggesting minimal aquifer recharge during the rainy season and justifying a simple linear model of phase variation through time for the PSI analysis.

TL;DR: The results indicate object-based analysis has good potential for extracting land cover information from satellite imagery captured over spatially heterogeneous land covers of tropical Australia.

TL;DR: Up to six tree species were classified with an overall accuracy of 57%, limiting to the four main species accuracy was improved to 78% and constraining just to conifers and broadleaved trees even 91% could be classified correctly.

TL;DR: Different spatial interpolation algorithms have been evaluated to produce a reasonably good continuous dataset bridging the gaps in the historical series of precipitation records in Sicily and validation results indicate that the univariate methods, neglecting the information of elevation, are characterized by the largest errors.

TL;DR: The results of the SPI and VCI analysis reveal that the eastern and southern zones of the study region suffered a recurrent cycle of drought over the last decade and demonstrates the utility of the vegetation condition index in semi-arid and arid regions.

TL;DR: The current study investigates the potential of using WordView-2 mul- tispectral satellite imagery for predicting forest structural parameters in a dryland plantation forest in Israel using stepwise multi linear regression analyses.

TL;DR: This paper analyzed all Landsat 7 imagery with <50% cloud cover and data and products from the Moderate Resolution Imaging Spectroradiometer (MODIS) to quantify forest cover loss for Sumatra and Kalimantan from 2000 to 2005 and demonstrated that time-series approaches examining all good land observations are more accurate in mapping forest cover change in Indonesia than change maps based on image composites.

TL;DR: The integrated water body mapping method is suitable for the applications of HJ-1A/B multi-spectral satellite images in this field and the test study results indicated that the NDVI–NDWI index is superior to the single index of NDVI and NDWI to enhance the contrast between water bodies and the rest of the features.

TL;DR: A simple but robust method for topographic correction of Landsat imagery is proposed and it is observed that results improve when land-cover classes where processed independently when applying the more advanced correction algorithms such as the C-correction and the Minnaert correction.

TL;DR: This study aims at stressing the compliances and the discrepancies between these four land cover classifications systems based on remote sensing imagery, which will help to improve the accuracy of future land cover maps at the African continental scale.

TL;DR: The results showed that all three paddy rice crop patterns could be discriminated and their spatial distribution quantified, and the area of single crop rice to have increased annually and almost doubling in extent from 2000 to 2007, with simultaneous, but unique declines in the extent of early and late paddy Rice.

TL;DR: A new drought assessment method by spatially and temporally integrating temperature vegetation dryness index (TVDI) with regional water stress index (RWSI) based on a synergistic approach is presented and the categorical classification of four drought impact levels associated with the RWSI values enables to refine the spatiotemporal relationship between the LST and the VIs.

TL;DR: It is shown that with only a few percent fractional maize cover the accuracy of a Partial Least Square Regression (PLSR) based SOC prediction model drops dramatically, but this problem can be solved with the use of spectral unmixing techniques.

TL;DR: Analysis indicated that, at least for the studied here fire, the inclusion of the two middle infrared spectral bands TM5 and TM7 of TM sensor as well as the selection of the kernel function in SVM implementation have a negligible effect in both the overall classification performance and in the delineation of total burnt area.

TL;DR: 8-year time series of European Space Agency's ENVISAT ASAR (Advanced Synthetic Aperture Radar) images acquired between 2002 and 2009 were obtained and a land-water classification scheme was implemented and the relationship between water storage change and water area/level change is obtained.

TL;DR: The TsHARP model provides a possibility to generate fine spatial resolution thermal data from coarse spatial resolution (≥1 km) data on the basis of an anticipated inverse linear relationship between the normalised difference vegetation index (NDVI) atfine spatial resolution and land surface temperature at coarse spatialresolution.

TL;DR: A modified building population mapping model that takes into account the effects of different types of residential buildings is proposed that is presented and evaluated in areas of West Lafayette, Lafayette, and Wea Township, all in the state of Indiana, USA.

TL;DR: It is indicated that temperature is the major controlling factor of vegetation change in the Three-River Source Region, and the currently increase of temperature may increase vegetation coverage and/or density in the area.

TL;DR: The temporal behaviour of apparent thermal inertia, derived using MODIS data only, showed a strong correspondence to that of AMSR-E soil moisture, especially in arid and semi-arid environments, and the approach showed some limitations for vegetated terrains.

TL;DR: The extended CVA has great potential to be widely used for LULC-change detection in RUFAs, which are often heterogeneous and fragmental in nature, with rich textural information.

TL;DR: A comparison of true positive and false positive rates of target detections obtained from ICA and other algorithms plotted on a receiver operating curves (ROC) space indicates the superior performance of the ICA over other algorithms.

TL;DR: The results obtained in this study show that the red edge position (REP) was the most sensitive indicator for monitoring the heavy metal pollution levels in rice crops among common indices and the FDWT is more sensitive to biochemical composition, namely with respect to chlorophyll concentrations, N, Cu and Cd.

TL;DR: The ratio of precipitation to evapotranspiration, representing water gain and loss, can be regarded as a comprehensive index to analyze NDVI and climate change, especially in areas where the water condition plays a dominant role.

TL;DR: A temporal neighboring-pixel approach is presented that reconstructs the diurnal cycle of LST by exploiting the temporal domain offered by geo-stationary satellite observations, and yields LST estimates even for overcast moments when satellite sensor can only record cloud-top temperatures.

TL;DR: A generic model for using different decision strategies in multi-criteria, personalized route planning, which results in multiple alternative routes that provide users with the flexibility to select one of them en-route based on the real world situation is presented.

TL;DR: A direct comparison between the GPP values derived from MODIS and synthetic ETM+ data showed a good consistency of the temporal dynamics but a systematic error that can be read as bias (MODIS GPP over estimation).

TL;DR: Combining TIR remote sensing with geological analysis and the understanding of geothermal mechanism is an accurate and efficient approach to geothermal area detection.

TL;DR: This modeling experiment revealed the suitability of the adopted model to simulate processes of forest conversion and indicates its possible further applicability in generating simulations of deforestation for areas with expanding rural activities in the Amazon and in tropical forests worldwide.

TL;DR: This technique has been found accurate for monitoring the flow rates in this region, suggesting that routine monitoring of diurnal movement Himalayan glaciers would be immensely useful in the present day context of climate change.

TL;DR: The method is based on a conventional algorithm used for localising LM on a smoothed version of the CSM and subsequently for modelling the tree crowns around each maximum at the plot level, with a novelty in the introduction of controls on both the degree of CSM filtering and the shape of elliptic crowns.