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Establishment of protected areas is one of the most important approaches for biodiversity conservation. Up to 2015, China has established 2740 sites for nature reserves with a total area of 1470300 km2, covering 14.8% of Chinese land surface. Based on remote sensing inversion, model simulation and spatial analysis methods, we analyzed spatial and temporal variations of habitat from the vegetation...
An application of the Soil Moisture Agricultural Drought Index (SMADI) for global agricultural drought monitoring is presented. The index integrates surface soil moisture from the Soil Moisture and Ocean Salinity (SMOS) mission with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) and allows for global drought...
An improved method for measuring and potentially monitoring surface particle size using satellite multispectral VNIR-SWIR-TIR ASTER TIR imagery was successfully tested for the Mu Us Desert to Loess Plateau region of China. The remote sensing results were validated against field sample data and published work. This work has implications for establishing a new mineral-based Earth Observation indicator...
An effective monitoring and analysis of ecosystems requires developing new tools and knowledge. In this paper, we propose an approach for detecting land-cover changes using satellite Image Time Series. This approach represents each image by spectral indices and then extracts local features of these representations. Next, a clustering technique (e.g., k-means) is applied to the extracted features,...
Thermal-infrared remote sensing of land surface temperature (LST) provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. This paper describes the most recent modifications applied to the robust but relatively simple LST-based energy balance model, the Two-Source Energy Balance (TSEB), which solves for the soil/substrate and canopy temperatures...
Recently, Unmanned Aerial Vehicle (UAV) has been applied into the precision agriculture [1, 2]. Comparing to satellite-based remote sensing, low-altitude UAV could collect data in cloudy weather with much higher spatial resolution. Thus, in addition to spectral information, UAV images provide more detailed shape and texture information about land use and cover.
This study focuses for the first time on the water stress detection and discrimination among different stages of red palm weevil (RPW) stress-attacks using water stress indices (WSI) and linear and second order polynomial statistical analysis. Different WSI were assessed using new technology Worldview-3 (WV-3) simulated data. Based on field identification, five palm tree classes were considered: dead,...
In this study, a data-fusion algorithm is developed for estimation of high-resolution brightness temperatures (TB) at 1km from Soil Moisture Active Passive (SMAP) fine-grid TB product at 9km. It uses image segmentation to spatio-temporally cluster the study region based on meteorological and land cover similarity, followed by a support vector machine based regression that computes the value of the...
Heavy metal stress will damage the normal growth and change the bio-parameters like chlorophyll, nitrogen and water content of rice. Simple, speedy, non-invasive test of heavy metal stress to crops means a lot to the agriculture and even the suspend of human being. Many traditional spectral index computed using hyperspectral data can inverse the above bio-parameters. While it is found that some indies...
China's Grain for Green Programme (GGP) is the largest ecological restoration programme ever implemented in a developing country, but the ecological effectiveness in its whole implementation region still remain uncertain. Based on the trend analysis of dynamics in ecosystem structure and service, we assessed the ecological effects before and after the implementation of the GGP in 1990–2010 by developing...
In this study, based on in-situ measurements collected in the North China Plain, adjusted vegetation water indexes were introduced on the basis of traditional vegetation water indexes to weak soil and background influence and propose multiscale winter wheat moisture inversion model that is suitable in North China Plain. The main conclusions are as follows: 1) The adjusted water indexes have a good...
This paper attempts to retrieve leaf water content (LWC) by developing new vegetation indices from the combination of the near-infrared (NIR) and middle-infrared (MIR) spectral reflectances. The expanded vegetation leaf model PROSPECT-VISIR and the widely validated four-stream scattering by arbitrarily inclined leaves (4SAIL) model are employed to simulate canopy reflectance in 0.4–5.7 μm region with...
The secondary forest has a low diversity of species, however, they have major importance for the reestablishment of ecosystem functions and nutrient stocks lost from the original forests, as well as higher carbon absorption rate of the mature forests. In this study, we developed an approach using geographic object-based image analysis (GEOBIA) to classify the forest succession stages in a study area...
Recently, multi-source remote sensing data and their derived features such as vegetation indices, texture metrics have been frequently applied to quantitatively estimate forest above-ground biomass (AGB). However, it is still challenging to efficiently select the optimal features for modeling the forest AGB. In this study, a fast, efficient and automatic method has been proposed, called as k-nearest...
The final goal of this study is to create data to support emergency efforts in a disaster affected area by locating damaged buildings shortly after the disaster. In this study, prioritizing the practicality of the method for emergency purposes, we designed a method only to use a single satellite image of an affected area, eliminating the use of complex algorithms and auxiliary data. The uniqueness...
The likelihood of transitions between pairs of land cover and land use classes in a given time interval and environmental context can be used to impose classification restrictions on an image or to evaluate results. This study presents a methodology for using the likelihood of transitions between classes to improve land cover classification, given a base map (a supposedly accurate map for the same...
In this study, the Bottom-Of-Atmosphere (BOA) reflectance over Egbert, Ontario, Canada on September 24, 2016, as obtained by the Sentinel-2A Multi-Spectral Imager and corrected by the Sentinel-2 atmospheric Correction (Sen2Cor) software, was evaluated based on the 6SV atmospherically corrected reflectance. The aerosol and water vapor parameters used in the 6SV model were obtained from the AERONET...
At present, various models are developed for soil moisture retrieval, but the application of polarimetric SAR data to retrieve soil moisture in sandy land is rare. Therefore, it is necessary to develop a method for retrieving soil moisture in sandy land. In this paper, we proposed a model to estimate the soil moisture in Hunshandake Sandy Land. The model does not need to take into account the surface...
A lot of spectral indices were developed based on the relationship between the spectral reflectance of the upper leaf surface and chlorophyll content. But the lower leaf surface may influence reflectance spectra because of canopy structure or the inclination of leaves. The results of this study showed that structural differences of the two leaf sides may result in differences in reflectance and spectral...
This article focuses on the mapping of fire burn scars, fire severity and soil erosion susceptibility using multi-sensoral satellite data. An automatic procedure for the mapping of fire affected areas and for the estimation of fire severity using Sentinel-2 data is presented. The Sentinel-2 based classification results are compared to a burn scar derived by a semi-automatic object-based approach using...
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