Showing papers in "Remote Sensing of Environment in 2011"

TL;DR: In this article, an improved version of the global evapotranspiration (ET) algorithm based on MODIS and global meteorology data has been proposed, which simplifies the calculation of vegetation cover fraction, calculating ET as the sum of daytime and nighttime components, adding soil heat flux calculation, improving estimates of stomatal conductance, aerodynamic resistance and boundary layer resistance, separating dry canopy surface from the wet and dividing soil surface into saturated wet surface and moist surface.

TL;DR: This study demonstrates that the object-based classifier is a significantly better approach than the classical per-pixel classifiers in identifying urban classes employing high resolution data.

TL;DR: Wang et al. as mentioned in this paper investigated how landscape composition and configuration would affect UHI in Shanghai metropolitan region of China, based on the analysis of land surface temperature (LST) in relation to normalized difference vegetation index (NDVI), vegetation fraction (Fv), and percent impervious surface area (ISA).

TL;DR: In this article, a P-band polarimetric SAR with interferometric capability is used to measure the magnitude and distribution of forest biomass globally to improve resource assessment, carbon accounting and carbon models, and to monitor and quantify changes in terrestrial forest biomass.

TL;DR: In this article, the authors evaluated different vegetation indices for the remote estima- tion of the green leaf area index (Green LAI) of two crop types (maize and soybean) with contrasting canopy architectures and leaf structures.

TL;DR: This review paper summarizes the available methods and results of endmember variability reduction in Spectral Mixture Analysis (SMA), drawing attention to the high complementarities between the different techniques and suggesting that an integrated approach is necessary to effectively address endmember heterogeneity issues in SMA.

TL;DR: A supervised workflow is proposed in this study to reduce manual labor and objectify the choice of significant object features and classification thresholds and resulted in accuracies between 73% and 87% for the affected areas, and approximately balanced commission and omission errors.

TL;DR: In this article, the authors illustrate the use of multi-temporal nighttime light (NTL) data from the US Air Force Defense Meteorological Satellites Program/Operational Linescan System (DMSP/OLS) to monitor urban change at regional and global scales.

TL;DR: In this article, the authors applied harmonic analysis and non-parametric trend tests to the GIMMS NDVI dataset (1981-2006) to detect greening and browning trends; especially the global coverage of time-series normalized difference vegetation index (NDVI) data which are available from 1981.

TL;DR: Object-based Crop Identification and Mapping (OCIM) as mentioned in this paper was developed for 13 major crops cultivated in the agricultural area of Yolo County in California, USA by combining object-based image analysis and decision tree (DT) algorithms.

TL;DR: In this article, a comprehensive assessment of the reliability of soil moisture estimations from the Advanced SCATterometer (ASCAT) and AMSR-E sensors is carried out by using observed and modelled soil moisture data over 17 sites located in 4 countries across Europe (Italy, Spain, France and Luxembourg).

TL;DR: In this paper, an algorithm assimilating synoptic weather station data on snow depth with satellite passive microwave radiometer data is applied to produce a 30-year-long time-series of seasonal snow water equivalent (SWE) for the northern hemisphere.

TL;DR: In this paper, the authors used ICESat altimetry data to provide precise lake elevations of the Tibetan Plateau (TP) during the period of 2003-2009, which is the first time that precise lake elevation data are provided for the 111 lakes.

TL;DR: A simple and effective method to interpolate the values of the pixels within the gaps, known as the Neighborhood Similar Pixel Interpolator (NSPI), which indicates that gap-filled products generated by NSPI will have relevance to the user community for various land cover applications.

TL;DR: In this paper, three process-based models are used to estimate terrestrial heat fluxes and evapotranspiration (ET) at the global scale: a single source energy budget model, a Penman-Monteith based approach, and a Priestley-Taylor based approach.

TL;DR: In this article, the authors compared eleven different indicators for quantifying surface urban heat islands that were most frequently used in recent publications on remote sensing-based urban heat island assessments and found that the indicators individually reveal diurnal and seasonal patterns but show rather low correlations over time, and for single points in time, the different indicators show only weak correlations.

TL;DR: In this article, the authors compared field-measured VCC and ACC at 15° and 75° from the zenith to different LiDAR (Light Detection and Ranging) metrics.

TL;DR: In this paper, an integrated two-step method was developed to derive the improved MODIS LAI products effectively and efficiently on a global scale, taking advantage of background values and quality control information at each pixel to do simple data assimilation for relatively low quality data.

TL;DR: In this paper, the performance of two fundamentally different approaches to achieve sub-pixel precision of normalised cross-correlation when measuring surface displacements on mass movements from repeat optical images was evaluated.

TL;DR: In this paper, the authors used the per-pixel Vegetation Health Index (VHI) from the Advanced Very High Resolution Radiometer (AVHRR) averaged over the crop season as main drought indicator, and employed a phenological model based on NDVI for defining the start of season (SOS) and end of the grain filling stage (GFS) dates.

TL;DR: In this article, the authors present a global comparative analysis for the land surface involving four AVHRR-derived NDVI data sets: (1) PathfinderAVHRR Land (PAL); (2) Global Inventory Modeling and Mapping Studies (GIMMS); (3) Land Long Term Data Record (LTDR) version 3 (V3); and (4) Fourier-Adjustment, Solar zenith angle corrected, Interpolated Reconstructed (FASIR).

TL;DR: In this article, the authors used synthetic reflectance spectra generated by a radiative transfer model to develop statistical relationships between leaf optical and chemical properties, which were applied to experimental data without any readjustment.

TL;DR: In this paper, the authors investigated the potential of X-and L-band SAR data to estimate aboveground biomass (AGB) in intact and degraded tropical forests in Central Kalimantan, Borneo, Indonesia.

TL;DR: In this article, the authors demonstrate how plot size and co-registration error interact to influence the estimation of LiDAR canopy height and density metrics, regression model coefficients, and the prediction accuracy of least-squares estimators of TAGB.

TL;DR: In this paper, a statistical downscaling algorithm based on the relationships between precipitation and other environmental factors in the Qaidam Basin such as topography and vegetation, which was developed to downscale the spatial precipitation fields of these remote sensing products, was demonstrated with the Tropical Rainfall Measuring Mission (TRMM) 3B43 dataset, the Digital Elevation Model (DEM) from the Shuttle Radar Topography Mission (SRTM) and SPOT VEGETATION.

TL;DR: In this article, a quantitative comparison of the similarity measures in function of varying time series and ecosystem characteristics, such as amplitude, timing, and noise effects, is presented, and the performance of the commonly used similarity measures (D), ranging from Manhattan (DMan), Euclidean (DE) and Mahalanobis (DMah) distance measures, to correlation (DCC), Principal Component Analysis (PCA; DPCA) and Fourier based (DFFT,Dξ,DFk) similarities.

TL;DR: Li et al. as mentioned in this paper applied object-based image analysis and supervised classification to four 32m Beijing-1 microsatellite images to examine broadscale surface cover composition and its change during November 2007-March 2008 low water season at Poyang Lake, the largest freshwater lake-wetland system in China.

TL;DR: This paper analyzed global phenology cycles over a six-year record (2003-2008) using satellite passive microwave remote sensing based Vegetation Optical Depth (VOD) retrievals derived from daily time series brightness temperature (Tb) measurements from the Advanced Microwave Scanning Radiometer on EOS (AMSR-E) and other ancillary data inputs.

TL;DR: In this paper, the potential of high-resolution optical data from the ALOS AVNIR-2 sensor for biomass estimation in a mountainous, subtropical forested region using four different image processing techniques including spectral reflectance and simple spectral band ratio, commonly used vegetation indices, texture parameters and ratio of texture parameters.