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30篇 您的检索式:作者名="Channan"
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1A global,high-resolution(30-m)inland water body dataset for 2000:first results of a topographic-spectral classification algorithm显示文摘The science and management of terrestrial ecosystems require accurate,high-resolution mapping of surface water.We produced a global,30-m-resolution inland surface water dataset with an automated algorithm using Landsat-based surface reflectance estimates,multispectral water and vegetation indices,terrain metrics,and prior coarse-resolution water masks.The dataset identified 3,650,723 km2 of inland water globally–nearly three quarters of which was located in North America(40.65%)and Asia(32.77%),followed by Europe(9.64%),Africa(8.47%),South America(6.91%),and Oceania(1.57%).Boreal forests contained the largest portion of terrestrial surface water(25.03%of the global total),followed by the nominal‘inland water’biome(16.36%),tundra(15.67%),and temperate broadleaf and mixed forests(13.91%).Agreement with respect to the Moderate-resolution Imaging Spectroradiometer water mask and Landsat-based national land-cover datasets was very high,with commission errors<4%and omission errors<14%relative to each.Most of these were accounted for in the seasonality of water cover,snow and ice,and clouds–effects which were compounded by differences in image acquisition date relative to reference datasets.The Global Land Cover Facility(GLCF)inland surface water dataset is available for open access at the GLCF website(http://gffzzc4da8a9a1d6d4c7ahf5oqfqwu59x96c5k.ffgz.tsg.suse.edu.cn).Min Feng Joseph O.Sexton Saurabh Channan John R.Townshend 2016International Journal of Digital Earth2016,9,2:13
2Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges显示文摘The compilation of global Landsat data-sets and the ever-lowering costs of computing now make it feasible to monitor the Earth’s land cover at Landsat resolutions of 30 m.In this article,we describe the methods to create global products of forest cover and cover change at Landsat resolutions.Nevertheless,there are many challenges in ensuring the creation of high-quality products.And we propose various ways in which the challenges can be overcome.Among the challenges are the need for atmospheric correction,incorrect calibration coefficients in some of the data-sets,the different phenologies between compila-tions,the need for terrain correction,the lack of consistent reference data for training and accuracy assessment,and the need for highly automated character-ization and change detection.We propose and evaluate the creation and use of surface reflectance products,improved selection of scenes to reduce phenological differences,terrain illumination correction,automated training selection,and the use of information extraction procedures robust to errors in training data along with several other issues.At several stages we use Moderate Resolution Spectro-radiometer data and products to assist our analysis.A global working prototype product of forest cover and forest cover change is included.John R.Townshend Jeffrey G.Masek Chengquan Huang Eric.F.Vermote Feng Gao Saurabh Channan Joseph O.Sexton Min Feng Raghuram Narasimhan Dohyung Kim Kuan Song Danxia Song Xiao-Peng Song Praveen Noojipady Bin Tan Matthew C.Hansen Mengxue Li Robert E.Wolfe 2012International Journal of Digital Earth2012,5,5:10
3Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error显示文摘We developed a global,30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer(MODIS)Vegetation Continuous Fields(VCF)Tree Cover layer using circa-2000 and 2005 Landsat images,incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas.Resulting Landsat-based estimates maintained consistency with the MODIS VCF in both epochs(RMSE=8.6%in 2000 and 11.9%in 2005),but showed improved accuracy in agricultural areas and increased discrimination of small forest patches.Against lidar measurements,the Landsat-based estimates exhibited accuracy slightly less than that of the MODIS VCF(RMSE=16.8%for MODIS-based vs.17.4%for Landsat-based estimates),but RMSE of Landsat estimates was 3.3 percentage points lower than that of the MODIS data in an agricultural region.The Landsat data retained the saturation artifact of the MODIS VCF at greater than or equal to 80%tree cover but showed greater potential for removal of errors through calibration to lidar,with post-calibration RMSE of 9.4%compared to 13.5%in MODIS estimates.Provided for free download at the Global Land Cover Facility(GLCF)website(www.landcover.org),the 30-m resolution GLCF tree cover dataset is the highest-resolution multi=temporal depiction of Earth’s tree cover available to the Earth science community.Joseph O.Sexton Xiao-Peng Song Min Feng Praveen Noojipady Anupam Anand Chengquan Huang Do-Hyung Kim Kathrine M.Collins Saurabh Channan Charlene DiMiceli John R.Townshend 2013International Journal of Digital Earth2013,6,5:5
4A data mining approach for spatial modeling in small area load forecast显示文摘WU Hungchih LU Channan 2002IEEE Transactions on Power Systems2002,17,2:1
5Quality assessment of Landsat surface reflectance products using MODIS data显示文摘Min Feng Chengquan Huang Saurabh Channan Eric F. Vermote Jeffrey G. Masek John R. Townshend 2011Computers and Geosciences2011,,1:1
6An electricity tracing method with application to power loss allocation显示文摘Yachin C Channan L 2001Electrical Power and System Research2001,23,1:1
7A RSSI measurement in wireless sensor networks based on the second correction显示文摘Chen Li Zheng Jungang Zhu Channan 2012Journal of Shenyang Jianzhu University:Natural Science2012,28,5:1
8Integrating global land cover products for improved forest cover characterization: an application in North America显示文摘Six widely used coarse-resolution global land cover data-sets–Global Land Cover Characterization(GLCC),Global Land Cover 2000(GLC2000),GlobCover land cover product(GlobCover),MODIS land cover product(MODIS LC),the University of Maryland land cover product(UMD LC),and the MODIS Vegetation Continuous Fields tree cover layer(MODIS VCF)disagree substantially in their estimates of forest cover.Employing a regression tree model trained on higher-resolution,Landsat-based data,these multisource multiresolution maps were integrated for an improved characterization of forest cover over North America.Evaluated using a withheld test sample,the integrated percent forest cover(IPFC)data-set has a root mean square error of 11.75%–substantially better than the 17.37% of GLCC,17.61% of GLC2000,17.96% of GlobCover,15.23% of MODIS LC,19.25%of MODIS VCF,and 15.15%of UMD LC,respectively.Although demonstrated for forest,this approach based on integration of multiple products has potential for improved characterization of other land cover types as well.Xiao-Peng Song Chengquan Huang Min Feng Joseph O.Sexton Saurabh Channan John R.Townshend 2014International Journal of Digital Earth2014,7,9:1
9Self-emulsifying drug delivery systems: formulation and biophannaceutic evaluation of an investigational lipophilic compound 显示文摘Charman S A Channan W N Pouton W C 1992Pharm Res1992,9,1:1
10Estimation of sensitive equipment disruptions due to vohage sags显示文摘LU Channan SHEN Chengchieh 2007IEEE Transactions on Power Delivery2007,22,2:1
11Are non-brain stem-dead cardiac donors acceptable donors ? 显示文摘Luckraz H Channan SC Parameshwar J 2004J Heart Lung Transplant2004,23,3:1
12A voltage sag index considering compatibility between equipment and supply显示文摘SHEN Chengchieh LU Channan 2007IEEE Trans Power Del2007,22,2:1
13Feeder-switch relocation for customer interruption cost minimization显示文摘Teng Jenhao Lu Channan 2002IEEE Trans on Power Delivery2002,17,1:1
14Assessment of the three factors affecting Myanmar’s forest cover change using Landsat and MODIS vegetation continuous fields data显示文摘Long-term observation of the earth is essential for studying the factors affecting global environmental changes.Digital earth technology can facilitate the monitoring of global environmental change with its ability to process vast amounts of information.In this study,we map the forest cover change of Myanmar from 2000 to 2005 using a training data automation procedure and support vector machines algorithm.Our results show that Myanmar’s forests have declined 0.68%annually over this six-year period.We validated our derived change results and found the overall accuracy to be greater than 88%.We also assessed forest loss from protected areas,areas close to roads,and areas subject to fire,which were most likely to lose forested area.The results revealed the main reasons for forest losses in some hotspots to be increased agricultural conversion,fire,and the construction of highways.This information is useful for identifying the driving forces behind forest changes and to support environmental policy development in Myanmar.Fu-Jiang Liu Chengquan Huang Yong Pang Mengxue Li Dan-Xia Song Xiao-Peng Song Saurabh Channan Joseph O.Sexton Die Jiang Ping Zhang Yan Guo Yao-Feng Li John R.Townshend 2016International Journal of Digital Earth2016,9,6:1
15Postblink changes in the ocular modulation transfer function measured by a double-pass method 显示文摘Montes-Mico R Alio JL Channan WN 2005Invest Ophthalmol Vis Sci2005,46,12:1
16Dynamics of accom-modative facility in myopes 显示文摘Radhakrishnan H Allen PM Channan WN 2007Invest Ophthalmol Vis Sci2007,48,9:1
17A voltage sag index considering compatibility between equipment and supply 显示文摘SHEN Chengchieh LU Channan 2007IEEE Trans on Power Delivery2007,22,2:1
18Estimation of sensitive equipment disruptions due to voltage sags 显示文摘LU Channan SHEN Chengehieh 2007IEEE Trans on Power Delivery2007,22,2:1
19Peripheral refraction in orthokeratology patients 显示文摘Channan WN Mountford J Atchison DA 2006Optom Vis Sci2006,83,:1
20An electricity tracing method with application to power loss allocation显示文摘Chang Yachin Lu Channan 2001Electrical Power and Energy Systems2001,23,:1
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