Classifying Building Roof Damage Using High Resolution Imagery for Disaster Recovery [0.03%]
使用高分辨率影像分类建筑屋顶损害以助灾后恢复
Elaina Gonsoroski,Yoonjung Ahn,Emily W Harville et al.
Elaina Gonsoroski et al.
Post-hurricane damage assessments are often costly and time-consuming. Remotely sensed data provides a complementary method of data collection that can be completed comparatively quickly and at relatively low cost. This study focuses on 15 ...
The Development and Evaluation of a High-Resolution Above Ground Biomass Product for the Commonwealth of Puerto Rico (2000) [0.03%]
Puerto Rico（波多黎各）高分辨率碳存量产品研制及精度检验(2000年数据)
John S Liames,Joseph B Riegel,Kristin M Foley et al.
John S Liames et al.
This study details the development of a U.S. Commonwealth of Puerto Rico above-ground forest biomass (agb) product (baseline 2000) developed by the United States Environmental, Protection Agency (epa) that was compared to another AGB produc...
Application of Time Series Landsat Images to Examining Land-use/Land-cover Dynamic Change [0.03%]
应用时间序列Landsat影像研究土地利用/覆盖动态变化
Dengsheng Lu,Scott Hetrick,Emilio Moran et al.
Dengsheng Lu et al.
A hierarchical-based classification method was designed to develop time series land-use/land-cover datasets from Landsat images between 1977 and 2008 in Lucas do Rio Verde, Mato Grosso, Brazil. A post-classification comparison approach was ...
Histogram Curve Matching Approaches for Object-based Image Classification of Land Cover and Land Use [0.03%]
面向对象的 landsat 8 影像地类分类的直方图曲线匹配方法研究
Sory I Toure,Douglas A Stow,John R Weeks et al.
Sory I Toure et al.
The classification of image-objects is usually done using parametric statistical measures of central tendency and/or dispersion (e.g., mean or standard deviation). The objectives of this study were to analyze digital number histograms of im...
Updating Historical Maps of Malaria Transmission Intensity in East Africa Using Remote Sensing [0.03%]
基于遥感技术更新东非疟疾历史传输强度地图
J A Omumbo,S I Hay,S J Goetz et al.
J A Omumbo et al.
Remotely sensed imagery has been used to update and improve the spatial resolution of malaria transmission intensity maps in Tanzania, Uganda, and Kenya. Discriminant analysis achieved statistically robust agreements between historical maps...
Land Cover Classification in a Complex Urban-Rural Landscape with Quickbird Imagery [0.03%]
基于快鸟影像的复杂城乡过渡区土地覆盖分类研究
Emilio Federico Moran
Emilio Federico Moran
High spatial resolution images have been increasingly used for urban land use/cover classification, but the high spectral variation within the same land cover, the spectral confusion among different land covers, and the shadow problem often...
Geographic object-based delineation of neighborhoods of Accra, Ghana using QuickBird satellite imagery [0.03%]
利用地快鸟卫星影像划分乔治城居住区的地理目标对象区划方法研究
Douglas A Stow,Christopher D Lippitt,John R Weeks
Douglas A Stow
The objective was to test GEographic Object-based Image Analysis (GEOBIA) techniques for delineating neighborhoods of Accra, Ghana using QuickBird multispectral imagery. Two approaches to aggregating census enumeration areas (EAs) based on ...
Integration of Landsat TM and SPOT HRG Images for Vegetation Change Detection in the Brazilian Amazon [0.03%]
结合Landsat TM和SPOT HRG影像用于巴西亚马逊地区的植被变化监测
Dengsheng Lu,Mateus Batistella,Emilio Moran
Dengsheng Lu
Traditional change detection approaches have been proven to be difficult in detecting vegetation changes in the moist tropical regions with multitemporal images. This paper explores the integration of Landsat Thematic Mapper (TM) and SPOT H...
A Comparative Study of Landsat TM and SPOT HRG Images for Vegetation Classification in the Brazilian Amazon [0.03%]
用于巴西亚马逊地区植被分类的陆地卫星TM图像和SPOT高分辨率图像的比较研究
Dengsheng Lu,Mateus Batistella,Evaristo E de Miranda et al.
Dengsheng Lu et al.
Complex forest structure and abundant tree species in the moist tropical regions often cause difficulties in classifying vegetation classes with remotely sensed data. This paper explores improvement in vegetation classification accuracies t...