<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-7-W3-1339-2015</article-id>
<title-group>
<article-title>USE OF LANDSAT-SERIES DATA IN NATIONAL GEOGRAPHIC CONDITION MONITORING IN CHINA</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bai</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhao</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sheng</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lv</surname>
<given-names>G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>China TOPRS Technology Co., Ltd, Beijing 100039, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Henan Polytechnic University School of Surveying and Land Information Engineering, Henan Jiaozuo 454000, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>04</month>
<year>2015</year>
</pub-date>
<volume>XL-7/W3</volume>
<fpage>1339</fpage>
<lpage>1344</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 J. Bai et al.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-7-W3/1339/2015/isprs-archives-XL-7-W3-1339-2015.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-7-W3/1339/2015/isprs-archives-XL-7-W3-1339-2015.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-7-W3/1339/2015/isprs-archives-XL-7-W3-1339-2015.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-7-W3/1339/2015/isprs-archives-XL-7-W3-1339-2015.pdf</self-uri>
<abstract>
<p>To fully grasp the nature and human geography situation information, solve the problem of ecological environment,
economic and social development of the country, monitoring the state of geographic condition by uniform index system has great
significance. By collecting the existing standard documents, our paper established a suit of index system considering the characteristics of
long time series remote sensing data. The index system includes basic, subject, composite statistical indexes, and statistical indexes based
on basic geographic element. The spatial and temporal distribution of geographic condition with Landsat TM image in Haidian district of
Beijing from 1983 to 2013 are studies. Results show that farmland decreases by 28.60%, build-up land increases by 38.95% in this period.
The amount of land resources in different elevation/slope shows that, with the increase of elevation/slope, farmland and build-up land is
gradually reduced, while grassland area is gradually increasing. In plains areas of elevation less than 50m and within the scope of the 0 to
3° slope, farmland and build-up land are the main land cover types, and both show the characteristic of tradeoffs. Urban area extended to
the west and the north, meanwhile mass center of Haidian also moves to the northwest. The urban compactness decreases and the fractal
index increased gradually, reflecting the city saturation degree become reduced, the city boundary becomes complicated gradually. The
comprehensive land cover dynamic degree after the first decrease and then increases. Finally, based on the above statistic results, the
spatial distribution of land cover in 2015 is predicted.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>