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Towards long-multitemporal change detection using SVI differencing by integrated DWT ISOCLUS: a model for forest temporal dynamics mapping

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International Journal of Digital Earth 2011年第2期4卷 108-132页

作者： Yashon O.Oumaa ryutaro tateishi tateishi Laboratory Centre for Environmental Remote Sensing(CEReS)Graduate School of Science and TechnologyChiba University1-33 Yayoi-choInage-kuChiba 263-8522Japan tateishi Laboratory Centre for Environmental Remote Sensing(CEReS)Chiba University1-33 Yayoi-choInage-kuChiba 263-8522Japan

Characterisation and mapping of land cover/land use within forest areas over long-multitemporal intervals is a complex *** complexity is mainly due to the location and extent of such areas and,as a consequence,to the lack of full continuous cloud-free coverage of those large regions by one single remote sensing *** order to provide improved long-multitemporal forest change detection using Landsat MSS and ETMin part of *** rainforest,and to develop a model for forest change monitoring,wavelet transforms analysis was tested against the ISOCLUS algorithm for the derivation of changes in natural forest cover,as determined using four simple ratio-based Vegetation Indices:Simple Ratio(SR),Normalised Difference Vegetation Index(NDVI),Renormalised Difference Vegetation Index(RDVI)and modified simple ratio(MSR).Based on statistical and empirical accuracy assessments,RDVI presented the optimal index for the case *** overall accuracy statistic of the wavelet derived change/no-change was used to rank the performances of the indices as:RDVI(91.68%),MSR(82.55%),NDVI(79.73%)and SR(65.34%).The integrated discrete wavelet transformISOCLUS(DWTISOCLUS)result was 42.65%higher than the independent ISOCLUS approach in mapping the change/no-change *** methodology suggested in this study presents a cost-effective and practical method to detect land-cover changes in support of decision-making for updating forest databases,and for long-term monitoring of vegetation changes from multisensor *** current research contributes to Digital Earth with regards to geo-data acquisition,data mining and representation of one forest systems.

关键词： digital earth long-multitemporal forest change detection Spectral Vegetation Index Differencing(SVID) ISOCLUS discrete wavelet transform(DWT) integrated DWTISOCLUS

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Multi-criteria technique for mapping of debris-covered and clean-ice glaciers in the Shaksgam valley using Landsat TM and ASTER GDEM

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Journal of Mountain Science 2016年第4期13卷 703-714页

作者： Alifu HAIRETI ryutaro tateishi Bayan ALSAAIDEH Saeid GHARECHELOU geosystem and biological sciences division graduate schools of sciencechiba university1-33 Yayoi-choInage-kuChiba-shiChiba 263-8522Japan center for environmental remote sensing chiba university1-33 Yayoi-choInage-kuChiba-shiChiba 263-8522Japan

Glaciers in the Shaksgam valley provide important fresh water resources to neighbourhood livelihood. Repeated creation of the glacier inventories is important to assess glacier–climate interactions and to predict future runoff from glacierized catchments. For this study, we applied a multi-criteria technique to map the glaciers of the Shaksgam valley of China, using Landsat Thematic Mapper(Landsat TM)(2009) and Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model version two(ASTER GDEM V2) data. The geomorphometric parameters slope, plan, and profile curvature were generated from ASTER GDEM. Then they were organized in similar surface groups using cluster analysis. For accurate mapping of supraglacial debris area, clustering results were combined with a thermal mask generated from the Landsat TM thermal band. The debris-free glaciers were identified using the band ratio(TM band 4/TM band 5) technique. Final vector maps of the glaciers were created using overlay tools in a geographic information system(GIS).Accuracy of the generated glacier outlines was assessed through comparison with glacier outlines based on the Second Chinese Glacier Inventory(SCGI) data and glacier outlines created from high-resolution Google Earth? images of 2009. Glacier areas derived using the proposed approach were 3% less than in the reference datasets. Furthermore, final glacier maps show satisfactory mapping results, but identification of the debris-cover glacier terminus(covered by thick debris layer) is still problematic. Therefore, manual editing was necessary to improve the final glacier maps.

关键词： Remote sensing Glacier inventory Shaksgam valley Landsat TM ASTER GDEM

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Global mapping of urban built-up areas of year 2014 by combining MODIS multispectral data with VIIRS nighttime light data

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International Journal of Digital Earth 2016年第10期9卷 1004-1020页

作者： Ram C.Sharma ryutaro tateishi Keitarou Hara Saeid Gharechelou Kotaro Iizuka Center for Environmental Remote Sensing(CEReS) Chiba UniversityChibaJapan Department of Informatics Tokyo University of Information SciencesChibaJapan Research Institute for Sustainable Humanosphere Kyoto UniversityKyotoJapan

An improved methodology for the extraction and mapping of urban built-up areas at a global scale is presented in this *** Moderate Resolution Imaging Spectroradiometer(MODIS)-based multispectral data were combined with the Visible Infrared Imager Radiometer Suite(VIIRS)-based nighttime light(NTL)data for robust extraction and mapping of urban built-up *** MODIS-based newly proposed Urban Built-up Index(UBI)was combined with NTL data,and the resulting Enhanced UBI(EUBI)was used as a single master image for global extraction of urban built-up *** to higher variation of the EUBI with respect to geographical regions,a region-specific threshold approach was used to extract urban built-up *** research provided 500-m-resolution global urban built-up map of year *** resulted map was compared with three existing moderate-resolution global maps and one high-resolution map in the United *** comparative analysis demonstrated finer details of the urban built-up cover estimated by the resultant map.

关键词： Urban built-up areas VIIRS MODIS nighttime light Urban Built-up Index global mapping

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New urban map of Eurasia using MODIS and multi-source geospatial data

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Geo-Spatial Information Science 2017年第1期20卷 29-38页

作者： Bayan Alsaaideh ryutaro tateishi Dong Xuan Phong Nguyen Thanh Hoan Ahmad Al-Hanbali Bai Xiulian Center for Environmental Remote Sensing(CEReS) Chiba UniversityChibaJapan COPRONA Inc.International Consulting Company Vung TauVietnam Institute of Geography Vietnamese Academy of Science and Technology(VAST)HanoiVietnam Geosphere environmental technology corp. tokyoJapan

Urban areas are of paramount significance to both the individuals and communities at local and regional ***,the rapid growth of urban areas exerts effects on climate,biodiversity,hydrology,and natural ecosystems ***,regular and up-to-date information related to urban extent is necessary to monitor the impacts of urban areas at local,regional,and potentially global *** study presents a new urban map of Eurasia at 500 m resolution using multi-source geospatial data,including Moderate Resolution Imaging Spectroradiometer(MODIS)data of 2013,population density of 2012,the Defense Meteorological Satellite Program’s Operational Linescan System(DMSP-OLS)nighttime lights of 2012,and constructed Impervious Surface Area(ISA)data of *** Eurasian urban map was created using the threshold method for these data,combined with references of fine resolution Landsat and Google Earth *** resultant map was compared with nine global urban maps and was validated using random sampling *** of the accuracy assessment showed high overall accuracy of the new urban map of 94%.This urban map is one product of the 20 land cover classes of the next version of Global Land Cover by National Mapping Organizations.

关键词： Urban area mapping population density MODIS data integration accuracy assessment eurasia

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Simple Relationship Analysis between L-Band Backscattering Intensity and the Stand Characteristics of Sugi (<i>Cryptomeria japonica</i>) and Hinoki (<i>Chamaecyparis obtusa</i>) Trees

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Advances in Remote Sensing 2014年第4期3卷 219-234页

作者： Kotaro Iizuka ryutaro tateishi Graduate School of Science Chiba University Chiba Japan Center for Environmental remote Sensing Chiba University Chiba Japan

In this study, we have performed an analysis between the L-band backscattering intensity derived from the slope corrected ALOS PALSAR remote sensing data and the?in-situ?stand biophysical parameter of Sugi (Cryptomeria japonica) and Hinoki (Chamaecyparis obtusa) trees at the forests of Chiba Prefecture, Japan. Diameter at breast height (DBH), tree height, and stem volume were statistically compared with the slope corrected sigma naught backscattering in an empirical approach. It was found that the relationship between the backscattering and the stand characteristics was strongly dependent on species showing different trends between the Sugi and Hinoki trees.?The Hinoki trees showed an increasing backscattering with increasing parameters (higher DBH, higher Tree height and higher stem volume), as it was mentioned on various researches, while the Sugi tree showed and decreasing backscattering with increasing parameters. We?have also found for the Sugi trees that the backscattering is affected strongly by the number of stems. We have assumed that this is because of the characteristics of the Sugi trees which have high moisture content in the heartwood of the stem, compared with other tree species in Japan. The results pave the way to the possibility for estimating biophysical parameters within the forests of Japan by considering such trends and at highly rugged areas by using slope corrected imagery of the SAR data.

关键词： SAR ALOS/PALSAR Forest Backscattering Stem Volume Biophysical Parameter

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Integrated Use of Existing Global Land Cover Datasets for Producing a New Global Land Cover Dataset with a Higher Accuracy: A Case Study in Eurasia

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Advances in Remote Sensing 2013年第4期2卷 365-372页

作者： Naijia Zhang ryutaro tateishi Center of Environmental Remote Sensing (CEReS) Chiba University Chiba Japan

It has been commonly acknowledged that the current global mapping projects have encountered the accuracy challenge. By conducting a comparison among the four existing global land cover datasets (MODIS LC, GLC2000, GLCNMO and GLOBCOVER), it has been identified that certain areas’ accuracy has dragged down the overall accuracy of these global land cover datasets. In this paper, those areas have been defined as the “unreliable area”. This study has recollected the training data from the “unreliable area” within the above four mentioned datasets and reclassified the “unreliable area” by using two supervised classifications. The final result has shown that compared with any existing datasets, a relatively higher accuracy has been able to achieve.

关键词： Global Land Cover GLCNMO Training Data Accuracy

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Comparison of a New Percent Tree Cover Dataset with Existing One and Categorical Land Cover Datasets in Eurasia

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Advances in Remote Sensing 2013年第4期2卷 345-357页

作者： Toshiyuki Kobayashi ryutaro tateishi Center for Environmental Remote Sensing Chiba University Chiba Japan Graduate School of Science Chiba University Chiba Japan

The global tree cover percentage is an important parameter used to understand the global environment. However, the available percent tree cover products on global or continental-scale are few, and efforts to quantitatively validate these maps have been limited. We produced a new percent tree cover dataset at 500 m resolution in 2008 for Eurasia using reference data interpreted from Google Earth. It is a part of percent tree cover (PTC) data in Global Mapping project. In this study, the dataset was compared with existing global percent tree cover dataset, MODIS Vegetation Continuous Fields, MOD44B. We assessed the agreement of these datasets with two existing global categorical land cover datasets and statistic data in Eurasia. The result showed that estimates of tree cover in our new map and MOD44B were relatively similar at randomly sampled sites. Our map and MOD44B agreed with either or both of land cover maps at 93% of sites and 91% of sites, respectively, for pixel blocks. However, we found that MOD44B disagreed with our map and categorical land cover datasets at about half of the sampled sites where the difference of tree cover percentage between our map and MOD44B was large, especially in the areas with significant differences (more than 50%). Disagreed areas were concentrated in forests of Russia and Indonesia, and in herbaceous dominated vegetation of UK and Ireland. We also found that both our map and MOD44B were somewhat different from the data reported by FRA 2010.

关键词： Vegetation Mapping Estimation MODIS Forestry

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Interrelationship Analysis of L-Band Backscattering Intensity and Soil Dielectric Constant for Soil Moisture Retrieval Using PALSAR Data

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Advances in Remote Sensing 2015年第1期4卷 15-24页

作者： Saeid Gharechelou ryutaro tateishi Josaphat Tetuko Sri Sumantyo Center for Environmental Remote Sensing (CEReS) Chiba University Chiba Japan

The purpose of this paper is to study about the interrelationship between the backscattering intensity of PALSAR data and the laboratory measurement of dielectric constant and soil moisture. The characterization of the dielectric constant of arid soils in the 0.3 - 3 GHz frequency range, particularly focused in L-band was analyzed in varied soil moisture content and soil textures. The interrelationship between the relative dielectric constant with soil textures and backscattering of PALSAR data was also analyzed and statistical model was computed. In this study, after collecting the soil samples in the field from top soil (0 - 10 cm) in a homogeneous area then, the dielectric constant was measured using a dielectric probe tool kit. For investigated of the characteristics and behaviors of the dielectric constant and relationship with backscattering a variety of moisture content from 0% to 40% and soil fraction conditions was tested in laboratory condition. All data were analyzed by integrating it with other geophysical data in GIS, such as land cover and soil texture. Thus, the regression model computed between measured soil moisture and backscattering coefficient of PALSR data which were extracted as same point of each soil sample pixel. Finally, after completing the preprocessing, such as removing the speckle noise by averaging, the model was applied to the PALSAR data for retrieving the soil moisture map in arid region of Iran. The analysis of dielectric constant properties result has shown the soil texture after the moisture content has the largest effected on dielectric constant. In addition, the PALSAR data in dual polarization are also able to derive the soil moisture using statistical method. The dielectric constant and backscattering shown have the exponential relationship and the HV polarization mode is more sensitive than the HH mode to soil moisture and overestimated the soil moisture as well. The validation of result has shown the 4.2 Vol-% RMSE of soil

关键词： SAR Dielectric Constant Soil Moisture Arid Soil Backscattering Soil Texture PALSAR Data

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Comparison of Simulated Backscattering Signal and ALOS PALSAR Backscattering over Arid Environment Using Experimental Measurement

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Advances in Remote Sensing 2015年第3期4卷 224-233页

作者： Saeid Gharechelou ryutaro tateishi Josaphat Tetuko Sri Sumantyo Center for Environmental Remote Sensing (CEReS) Chiba University Chiba Japan

The purpose of this paper is to simulate the backscattered signal by experimental data and field working then, comparing with the backscattered signal from actual L-band SAR data over arid to semi-arid environments. The experimental data included the laboratory-measured dielectric constant of soil samples and the roughness parameter. A backscattering model used to simulate the backscattering coefficient in sparse vegetation land cover. The backscattering coefficient (σ0) simulated using the AIEM (advanced integral equation model) based on the experimental data. The roughness data were considered by the field observation, chain method measuring and photogrammetry simulation technique by stereo image of ground real photography. The simulated backscattering coefficients were compared with the real extracted backscattering coefficient (σ0) from the ALOS PALSAR single and dual polarization mode data. The most problem in backscattering simulation was the vegetation water content. Therefore, the water-cloud model using the water index result of optical data applied on the simulated backscatter model for enhancement the backscattering heterogeneity from vegetation water contents due to the mix pixel of vegetation in spars vegetation. At the results the AIEM model overestimated the backscattering simulation, it might be cause of high sensitivity of this model to roughness. The ALOS PALSAR HV polarization mode is more sensitive than the HH mode to vegetation water content. The water-cloud model could improve the result and the correlation function of the samples was increased but, the difficulties were the input the A and B parameters to model.

关键词： AIEM SAR Backscattering ALOS PALSAR Sparse Vegetation Backscattering Simulation Arid Environment Dielectric Measurement

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Potential Hazard Map for Snow Disaster Prevention Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques: A Case Study in Northern Xinjiang, China

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Advances in Remote Sensing 2014年第4期3卷 260-271页

作者： Gulijianati Abake Ahmad Al-Hanbali Bayan Alsaaideh ryutaro tateishi Graduate School of Science Chiba University Chiba Japan Center for Environmental Remote Sensing Chiba University Chiba Japan

Snow disaster is one of the top ten natural disasters worldwide. Almost every year, there will be snow disasters in north Xinjiang, northwestern China. Since the accumulated heavy snow in winter season will seriously threaten people’s lives, the main object of this study is to produce a potential hazard map for snow avalanche prevention. Taking three snow seasons from November to March of year 2008 to 2010, potential hazard areas were estimated, based on snow volume products and terrain features. Remote sensing (RS) techniques and geographical information system (GIS) based weighted linear combination (WLC) approach were applied, taking into consideration multiple criteria. Snow avalanche risks were analyzed using physical exposure and vulnerability indexes. The analysis indicates that: the areas at high-risk of avalanches are located in the north and south part of the counties of Altay, Bortala and Ili prefectures;the areas at medium-risk of avalanches are found in the certain part of Altay prefecture and Urumqi, Changji, Tacheng prefectures;the avalanche risk is generally low throughout the large area to the certain part of the study area and the region on the border of the eastern north Xinjiang. Overall, the risks of snow avalanche in Altay and Ili prefectures are higher than that other regions;those areas should be allocated correspondingly more salvage materials.

关键词： Snow Disaster Remote Sensing Weighted Linear Combination North Xinjiang

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