Application of Time Series Landsat Images to Examining Land-use/Land-cover Dynamic Change.
Application of Time Series Landsat Images to Examining Land-use/Land-cover Dynamic Change.
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DOI：
10.14358/pers.78.7.747
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发表时间：
2012-07
影响因子：
1.3
通讯作者：
Li G
中科院分区：
文献类型：
--
作者：
Lu D;Hetrick S;Moran E;Li G
设计了一种基于分层的分类方法，利用1977 - 2008年巴西马托格罗索州Lucas do里约热内卢Verde的Landsat图像开发时间序列土地利用/土地覆盖数据集。采用分类后比较方法研究土地利用/土地覆盖变化轨迹，重点研究从植被或农牧地到不透水地表、从植被到农牧地、从农牧地到再生植被的转变。研究结果表明，不透水面面积的增加主要是由于研究期前10年塞拉多的丧失和近20年农用地的丧失。农业牧场的增加在前二十年主要是以塞拉多的损失为代价的，在最后十年则相对均匀地以原始森林和塞拉多的损失为代价。1999年以前不透水面积小于40 km2时，不透水面积与林地和森林呈负相关，与农牧区呈正相关，但1999年不透水面积达到40 km2后，二者之间不存在明显的相关关系。
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 used to examine land-use/land-cover change trajectories, which emphasis is on the conversions from vegetation or agropasture to impervious surface area, from vegetation to agropasture, and from agropasture to regenerating vegetation. Results of this research indicated that increase in impervious surface area mainly resulted from the loss of cerrado in the initial decade of the study period and from loss of agricultural lands in the last two decades. Increase in agropasture was mainly at the expense of losing cerrado in the first two decades and relatively evenly from the loss of primary forest and cerrado in the last decade. When impervious surface area was less than approximately 40 km2 before 1999, impervious surface area was negatively related to cerrado and forest, and positively related to agropasture areas, but after impervious surface area reached 40 km2 in 1999, no obvious relationship exists between them.