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Nowadays, urban land use mapping has played a significant role in commerce, urban planning, tourism, as well as in environmental management. With the development of remote sensing technology, high spatial resolution satellite imagery has the capability to enable accurate classification of general urban land cover and land use types. In this study, we compared pixel-based and object-based methods for...
Wetlands are a natural complex formed by the interaction of land and water systems. They play an irreplaceable role in biodiversity conservation, control of global climate change, water purification and mitigation of flood disaster. Thus, extracting information of wetlands has become very important. Recent years the rapid development of high spatial resolution remote sensing technology provides great...
Urban vegetation, particularly trees, plays important roles in the urban ecosystems. In this study, we examined the potential of WorldView-2 imagery (acquired on September 14, 2012) for urban tree species classification in the capital city of Beijing, China. Four tree species including Chinese white poplar(Populus tomentosa Carrière),Chineses scholartree(Sophora Japonica), Gingko(Ginkgo biloba L.)and...
The MODIS vegetation continuous fields (VCF) product has a percent tree cover layer; hence it could potentially be used to detect hotspots of deforestation and forest degradation, if data accuracy is high. This paper assesses the accuracy of the VCF percent tree cover layer by comparing it with land cover maps in two areas in Mexico. Specifically, we assess whether it can (1) differentiate forest...
Based on high-resolution remote sensing images and the eCognition Developer platform, the research described in this paper makes full use of the rich spectral, spatial, textural and feature geometry information contained in high-resolution images acquired from Quickbird. The object-oriented, multiscale segmentation method as well as the nearest neighborhood and membership function classification methods...
A simple but effective method for airport detection from medium resolution Landsat-7 satellite remote sensing images based on sparse coding is presented. It consists of three phases: dictionary construction, sparse coding, and airport detection. Firstly, an over-complete dictionary is constructed using a set of airport training samples. Secondly, test images are scanned using multi-scale windows and...
Due to the tradeoff between spatial, spectral, and temporal resolution, there is no such a unified sensor that can produce images with fine spatial-, temporal-, and spectral-resolution simultaneously. However, facing an emerging need of fine spatial details, frequent coverage, and multi-spectral remotely sensed data for global change detection, image fusion technique that blends multi-sensors' characteristics...
Forest ecosystems have a great potential in mitigation of carbon concentration in the atmosphere. Thus, generating its spatially explicit estimates at national, regional and global scale becomes very important. In Southern China, mapping forest carbon is often conducted by combining ground plot data from national forest inventory and remotely sensed images from Landsat and MODIS (Moderate Resolution...
Wetland, as a unique ecological system with highest productive forces on earth, is one of the most important environmental resources, which are named “kidney of the earth”. Wetland mapping plays an important role on the scientific exploitation and conservation of wetland resources. It is convenient for a big range of wetlands extraction based on MODIS and one of the most significant advantages of...
Based on the object-oriented method, this paper presents a new regional shape index (RSI). RSI is a regional feature which measures the gray similarity distance within region in every direction. Firstly, the original image is segmented to obtain small regions. Then the center in each region is calculated, and the distance is calculated from the center of each region within image to boundary of each...
Because of high spectral and temporal resolutions, large coverage and low cost, MODIS (Moderate Resolution Imaging Spectroradiometer) data has been widely used to extract information of forest types at regional, national and global scales. However, its coarse spatial resolution often leads to mixed pixels and impedes increasing classification accuracy of forest types. Spectral unmixing can, to some...
We discussed the potential and problem of applying remote sensing technique on monitoring remediation of temporary land use (tLU) in road construction project, based on two case studies which are ‘Cao-Nan’ and ‘Chao-Hei’ highways in Liaoning province. In either case, we combined three (before, during, and after construction) medium resolution satellite images (Landsat5-TM or HJ-CCD, abbreviated as...
This paper presents a methodology of estimating population at 15-m resolution from ASTER-based urban extent map and existing population grid data. We proposed two methods of estimating population: dasymetric mapping and regression model. Experiment for Tsuchiura City, Japan, and Pasig City, Philippines, showed visually good distribution of the estimated population at 15-m resolution. The data represented...
The German TanDEM-X mission has collected two global coverages of very high resolution synthetic aperture radar (SAR) X-band data with a spatial resolution of about three meters in the years 2011/2012 and 2012/2013. Such an extraordinary data set provides Earth observation data complementary to the existing global coverages with optical imagery. In this paper we present i) the technique implemented...
Land surface temperature is a key surface parameter in urban ecological and environmental studies. This paper took Guangzhou core urban area as the study site and selected Normalized Differential Vegetation Index (NDVI), Normalized Differential Build-up Index (NDBI), Normalized Difference Bareness Index (NDBaI), (Digital Evolution Model) DEM and SLOPE as representative surface characteristics indices...
High resolution satellite images have been actively utilized for information extraction. Object oriented classification approaches based on the segmentation are being adopted for extraction of variety of thematic information from high resolution satellite images. Object oriented classification method is composed of two successive processes. Firstly the image is subdivided into different objects based...
Image fusion is a technique to get a high spatial resolution and multispectral image. In this paper, we base on PLASAR data with high spatial resolution and TM data with multi-spectral to explore the fusion methods for multi-sensor data. Five fusion methods are compared for image fusion to show their ability to fuse multi-sensor image data. A series of statistical analysis and visual inspection are...
In recent years, the importance of monitoring the spatial and temporal characteristics of the Surface Urban Heat Island (SUHI) phenomenon has increased due to the rapid growth of the urban population. A system for real time and online monitoring of the urban thermal environment, which exploits the fine temporal resolution (15 min) of Meteosat Second Generation - Spinning Enhanced Visible and Infrared...
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