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在“Elsevier电子期刊”中，命中：189条，耗时：0.0109933 秒

在所有数据库中总计命中：3,848条

1.Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa

作者：Annika Ludwig ; Hanna Meyer ; ^{hanna.meyer@geo.uni-marburg.de" class="auth_mail" title="E-mail the corresponding author} ; Thomas Nauss

关键词：Bush encroachment ; Environmental monitoring ; Google Earth ; Random Forests ; Rangelands ; South Africa

刊名：International Journal of Applied Earth Observation and Geoinformation

出版年：2016

2.Mapping the dynamics of eastern redcedar encroachment into grasslands during 1984-2010 through PALSAR and time series Landsat images

作者：Jie Wang^a ; Xiangming Xiao^a ; ^b ; ^{xiangming.xiao@ou.edu} ; ; Yuanwei Qin^a ; Jinwei Dong^a ; George Geissler^c ; Geli Zhang^a ; Nicholas Cejda^a ; Brian Alikhani^a ; Russell B. Doughty^a

关键词：Juniperus virginiana ; Woody encroachment ; Land cover ; Phenology ; Vegetation indices

刊名：Remote Sensing of Environment

出版年：2017

3.Assessment of the cropland classifications in four global land cover datasets: A case study of Shaanxi Province, China

作者：Xiao-yu CHEN^a ; Ya LIN^a ; Min ZHANG^a ; Le YU^a ; Hao-chuan LI^b ; Yu-qi BAI^a ; ^{yuqibai@tsinghua.edu.cn}

关键词：land cover ; cropland classification ; assessment ; MODIS ; GlobCover2009 ; FROM-GC ; GlobeLand30

刊名：Journal of Integrative Agriculture

出版年：2017

4.Spatio-temporal changes in rice area at the northern limits of the rice cropping system in China from 1984 to 2013

作者：Zhi-peng LI^a ; ^{lizhipeng@caas.cn} ; Yu-qiao LONG^a ; Peng-qin TANG^a ; Jie-yang TAN^b ; Zheng-guo LI^a ; Wen-bin WU^a ; Ya-nan HU^a ; ^{huyanan@caas.cn} ; Peng YANG^a ; ^{yangpeng@caas.cn}

关键词：paddy rice ; Landsat images ; artificial neural network ; Heilongjiang Province

刊名：Journal of Integrative Agriculture

出版年：2017

5.Use of High Resolution Google Earth Satellite Imagery in Landuse Map Preparation for Urban Related Applications

作者：K. Malarvizhi^a ; S. Vasantha Kumar^b ; ^{svasanthakumar@vit.ac.in" class="auth_mail" title="E-mail the corresponding author} ; P. Porchelvan^c

关键词：Urban planning ; Landuse map ; Satellite image ; Google earth ; Change detection

刊名：Procedia Technology

出版年：2016

6.Mapping spatial patterns of urban agriculture in Rome (Italy) using Google Earth and web-mapping services

作者：Giuseppe Pulighe ; ^{giuseppe.pulighe@crea.gov.it" class="auth_mail" title="E-mail the corresponding author} ; Flavio Lupia

关键词：Google Earth ; Google maps ; Microsoft Bing Maps ; Photointerpretation ; Urban agriculture

刊名：Land Use Policy

出版年：2016

7.Building height estimation using Google Earth

作者：Feng Qi^a ; ^{fengqi@zafu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; John Z. Zhai^b ; Gaihong Dang^c

关键词：Building height ; Satellite image ; Google Earth ; Shadow analysis

刊名：Energy & Buildings

出版年：2016

8.The value of Google Earth™ for erosion mapping

作者：John Boardman ; ^{John.Boardman@eci.ox.ac.uk" class="auth_mail" title="E-mail the corresponding author}

关键词：Google Earth&trade ; Landform mapping ; Historical databases ; Remote sensing ; West Sussex ; Soil erosion

刊名：Catena

出版年：2016

9.Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

作者：Jinwei Dong^a ; ^b ; ^{jinwei.dong@ou.edu" class="auth_mail" title="E-mail the corresponding author} ; ; Xiangming Xiao^a ; ^b ; ^c ; ^{xiangming.xiao@ou.edu" class="auth_mail" title="E-mail the corresponding author} ; ; Michael A. Menarguez^a ; ^b ; Geli Zhang^a ; ^b ; Yuanwei Qin^a ; ^b ; David Thau^d ; Chandrashekhar Biradar^e ; Berrien Moore III^f

关键词：Paddy rice ; Landsat 8 ; Phenology- and pixel-based algorithm ; Cloud computing ; Google Earth Engine

刊名：Remote Sensing of Environment

出版年：2016

10.Detecting industrial oil palm plantations on Landsat images with Google Earth Engine

作者：Janice Ser Huay Lee^a ; ^{janice.jlsh@gmail.com} ; Serge Wich^b ; ^c ; ^{s.a.wich@ljmu.ac.uk} ; Atiek Widayati^d ; ^{A.Widayati@cgiar.org} ; Lian Pin Koh^e ; ^{lianpin.koh@adelaide.edu.au}

关键词：Elaeis guineensis ; Agricultural expansion ; Tropics ; Land cover classification ; Land use change

刊名：Remote Sensing Applications: Society and Environment

出版年：2016

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