Showing papers in "International Journal of Applied Earth Observation and Geoinformation in 2013"

TL;DR: A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regressors of Tehran, Iran to create a probability surface of spatiotemporal states of built-up land use for the years 2006, 2016, and 2026.

TL;DR: Results confirm the importance of the red-edge bands on particularly Sentinel-2 for agricultural applications, because of the combination with its high spatial resolution of 20 m and linear estimators of canopy chlorophyll and N content.

TL;DR: Simulations using the Scattering by Arbitrarily Inclined Leaves (SAIL) canopy model indicate an interaction among TGI, leaf area index (LAI) and soil type at low crop LAI, whereas at high LAI and canopy closure, TGI was only affected by leaf chlorophyll content.

TL;DR: Remote sensing techniques were applied to estimate N and Chl contents of irrigated maize fertilized at five N rates and showed that at the canopy level, Chl and N contents can be accurately retrieved using green and red-edge Chl indices using near infrared (780-800 nm) and either green or red- edge spectral bands.

TL;DR: It was proved that this index is a comprehensive drought monitoring indicator and it can contain not only the meteorological drought information but also it can reflect the drought influence on agriculture.

TL;DR: It was found that representation of terrain characteristics is affected in the coarse postings DEM, and the overall vertical accuracy shows RMS error of 12.62 m and 17.76 m for ASTER and SRTM DEM respectively, when compared with Cartosat DEM.

TL;DR: An effective solution to deal with supervised change detection in very high geometrical resolution (VHR) images is studied and the inclusion of spatial and contextual information issued from local textural statistics and mathematical morphology is proposed.

TL;DR: The challenge here is to use all the available information to produce a downscaled series of images that is coherent between images and which helps to distinguish real changes (signal) from noise, in the context of time-series image stacks.

TL;DR: This study endeavours to illuminate the process of urbanization in India using Defence Meteorological Satellites Program – Operational Linescan System (DMSP-OLS) night time lights (NTLs) and SPOT vegetation (VGT) dataset for the period 1998–2008.

TL;DR: An integrated approach of remote sensing and GIS was used to identify three urban growth types of infilling growth, outlying growth and edge-expansion growth at the city of Guangzhou, China, showing an improved understanding of urban growth, and helps to provide an effective way for urban planning.

TL;DR: Evaluation of the usefulness of the hyperspectral imager (HSI) onboard Chinese HJ-1-A small satellite in vegetation mapping indicates that the FVC result retrieved from the Hj-1/HSI data is well correlated with the in situ measurements, demonstrating that the HJ -1/ HSI data are promising for studying the potential impacts of global climate change on the arid and semi-arid landscapes.

TL;DR: Advances and opportunities in producing the next generations of global land cover characterization, mapping, and monitoring at 30-m spatial resolution are reported and discussed primarily in the context of United States, Group on Earth Observations Global 30 m land cover initiative (UGLC).

TL;DR: It is concluded that performance of empirical NDVI-based regression model was similar to meteorological and CGMS models when producing winter wheat yield forecasts at oblast level in Ukraine 2–3 months prior to harvest, while providing minimum requirements to input datasets.

TL;DR: A novel methodology for integration of multiple InSAR data sets for computation of two dimensional time series of ground deformation is presented, which detects a larger number of subsidence and uplift areas in comparison to leveling measurements restricted to annual monitoring of benchmark points along roads.

TL;DR: This work uses empirical orthogonal function (EOF) analysis and the temporal feature space to characterize and quantify patterns of temporal change in stable night light brightness and spatial extent since 1992 and finds an 18% increase in the number of spatially distinct lights and an 80% increaseIn lighted area in southern and eastern Asia between 1992 and 2009.

TL;DR: The selected classification and processing methods resulted in fine and accurate vegetation mapping in a previously untested region, exploiting all available sensors synergies and highlighting the advantages of each dataset.

TL;DR: Results of this bi-temporal study indicated that the topographic component had a higher influence on classification accuracy than the atmospheric component and that it is worthwhile to invest in both atmospheric and topographic corrections in a multi- Temporal study.

TL;DR: An image fusion approach based on multiresolution and multisensor regularized spatial unmixing is presented, which yields a composite image with the spatial resolution of the high spatial resolution image while retaining the spectral and temporal characteristics of the medium spatialresolution image.

TL;DR: The methods presented in this research suggest that some of the concerns about the quality of VGI can be addressed through careful data collection, the use of control points to evaluate volunteer performance and spatially explicit analyses.

TL;DR: Obvious correlation between seasonal landslide movements and water level changes is observed, which not only provides strong support of the InSAR time series results, but also indicates the impacts of waterlevel changes to landslide activities.

TL;DR: It was found that these VIs perform better in estimating the structure parameters of maize, such as Leaf Area Index (LAI), height and biomass, than the original ones.

TL;DR: Remote sensing assessment of a noxious invasive species Heracleum mantegazzianum (giant hogweed) is presented that integrates different data sources, spatial and spectral resolutions, and image processing techniques.

TL;DR: Correlation analysis showed a significant relationship with different vertical layers at different phenological stages which prove the physical interpretation of X-band backscatter of rice.

TL;DR: For attaining sub-pixel planimetric accuracies for the orthorectified GeoEye-1 Geo and WorldView-2 Ortho Ready Standard images and using RPC0 model with 7 GCPs, users should avoid off-nadir angles higher than 20° and use a very accurate DEM.

TL;DR: The operational methods used for the generation of National Forest Trend information is described, which is a time-series summary providing visual indication of within-forest vegetation changes (disturbance and recovery) over time at 25 m resolution, based on a national archive of calibrated Landsat TM/ETM+.

TL;DR: The investigation results indicated that the ISDI confers advantages in the accuracy and spatial resolution for monitoring drought and has significant potential for drought identification in China.

TL;DR: The homogeneity index, which has so far been neglected in land use/cover classification efforts, is focused on, and it is found that this index along with reflectance bands significantly increased the overall accuracy of all the classifiers, but particularly of SVM.

TL;DR: The results show that large trends of LUCC have rapidly occurred over the last 100 years and the rates observed are higher than those reported in Sub Saharan Africa (SSA) and other parts of the world.

TL;DR: A classification and accuracy assessment method for wetland mapping of at-risk plant communities in marl prairie and marsh areas of the Everglades National Park shows that the addition of NDVI and texture features increased classification accuracy.

TL;DR: Landsat TM images of the Pearl River Delta taken in 1988, 1998 and 2006 are used to explore the site factors that influence the construction land expansion in this study, describing tendencies to expand to locations in suburbs, plains and areas near roads or coastlines.