设为首页
收藏本站
网站地图
|
English
|
公务邮箱
About the library
Background
History
Leadership
Organization
Readers' Guide
Opening Hours
Collections
Help Via Email
Publications
Electronic Information Resources
常用资源
电子图书
期刊论文
学位会议
外文资源
特色专题
内部出版物
中国地质文献-英文(1)
SpringerLink电子期刊(18)
GSW全文库(1)
Elsevier电子期刊(24)
在“
SpringerLink电子期刊
”中,
命中:
18
条,耗时:0.0289876 秒
在所有数据库中总计命中:
44
条
1.
An effective hybrid classification approach using
tasseled
cap
transformation
(TCT) for improving classification of land use/land cover (LU/LC) in semi-arid region: a case study of Morva-Hadaf watershed, Gujarat, India
作者:
Amee K. Thakkar
;
Venkappayya R. Desai
;
Ajay Patel…
关键词:
Land use/land cover (LU/LC)
;
Remote sensing (RS)
;
Hybrid classification
;
Tasseled
cap
transformation
(TCT)
;
Ancillary data
刊名:Arabian Journal of Geosciences
出版年:2016
2.
Improving the ANN Classification Accuracy of Landsat Data Through Spectral Indices and Linear
Transformation
s (PCA and TCT) Aimed at LU/LC Monitoring of a River Basin
关键词:
Artificial Neural Networks
;
Spectral indices
;
Tasseled
cap
transformation
;
Principal component analysis
;
Land Use/Land Cover
;
River basin
刊名:Lecture Notes in Computer Science
出版年:2016
3.
Automatic Feature Extraction Module for Change Detection in Al Ain, UAE: Analysis by Means of Multi-temporal Remote Sensing Data
作者:
Samy Ismail Elmahdy
;
Mohamed Mostafa Mohamed
关键词:
Al Ain
;
Landuse
;
Change detection
;
UAE
;
Feature extraction
;
Tasseled
cap
刊名:Journal of the Indian Society of Remote Sensing
出版年:2016
4.
Shoreline shifting and its prediction using remote sensing and GIS techniques: a case study of Sagar Island, West Bengal (India)
作者:
Santanu Nandi
;
Mili Ghosh
;
Arnab Kundu
;
Dipanwita Dutta…
关键词:
Shoreline change rate
;
Shoreline prediction
;
Tasseled
cap
;
End point rate
;
Linear regression model
;
Sagar Island
;
India
刊名:Journal of Coastal Conservation
出版年:2016
5.
Mapping and evaluation of lands
cap
e ecological status using geographic indices extracted from remote sensing imagery of the Pearl River Delta, China, between 1998 and 2008
作者:
Jinqu Zhang
;
Yunqiang Zhu
;
Fenglei Fan
关键词:
Lands
cap
e ecology
;
Remote sensing
;
Indices
;
Model
;
Change
刊名:Environmental Earth Sciences
出版年:2016
6.
Use of satellite data to identify steppe lands of the Orenburg Trans-Volga Region disturbed by oil development
作者:
K. V. Myachina
;
A. A. Chibilev
关键词:
steppe zone
;
oil fields
;
image interpretation
;
Landsat
;
spectral
transformation
s
刊名:Geography and Natural Resources
出版年:2015
7.
Mapping and assessing typhoon-induced forest disturbance in Changbai Mountain National Nature Reserve using time series Landsat imagery
作者:
Xiao-yi Guo (1)
Hong-yan Zhang (1)
Ye-qiao Wang (2)
John Clark (2)
1. School of Geographical Sciences
;
Northeast Normal University
;
Changchun
;
130024
;
China
2. Department of Natural Resources Science
;
University of Rhode Island
;
Kingston
;
02881
;
USA
关键词:
Typhoon Vera
;
Windthrow areas
;
Disturbance Index (DI)
;
Topographic features
;
Forest recovery process
刊名:Journal of Mountain Science
出版年:2015
8.
A
tasseled
cap
transformation
for CBERS-02B CCD data
作者:
Li Sheng (1) (2)
Jing-feng Huang (1) (2)
Xiao-lu Tang (3)
关键词:
Tasseled
cap
transformation
;
CBERS
;
02B CCD
;
Reflectance factor
;
S127
刊名:Journal of Zhejiang University SCIENCE B
出版年:2011
9.
Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China
作者:
Xueling Wu (1)
Fu Ren (2)
Ruiqing Niu (1)
关键词:
Landslides
;
Susceptibility
;
Multi
;
resolution segmentation
;
Data mining
;
Three Gorges
刊名:Environmental Earth Sciences
出版年:2014
10.
Ten years of land cover change on the California coast detected using Landsat satellite image analysis: Part 2?an Mateo and Santa Cruz counties
作者:
Christopher Potter (1)
关键词:
Landsat
;
Coastal vegetation
;
Disturbance
;
Regrowth
;
Restoration
刊名:Journal of Coastal Conservation
出版年:2013
1
2
按检索点细分(18)
题名(2)
关键词(3)
文摘(16)
按出版年细分(18)
2016年(5)
2015年(2)
2014年(1)
2013年(4)
2011年(2)
2010年(1)
2005年(1)
2002年(2)
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via
email
.