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首页> 外文会议>Statistics, mathematics and computers : Caring for the forest: research in a changing world >Calibrating AVHRR tropical forest area estimates with TM sample images
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Calibrating AVHRR tropical forest area estimates with TM sample images

机译：使用TM样本图像校准AVHRR热带森林面积估计

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Objective of this study is the calibration of coarse resolution satellite data (NOAA AVHRR LAC 1km × 1km) covering the entire area of interest by samples of high resolution data (LANDSAT TM 30m × 30m) within a framework of the TREES (Tropical Ecosystem Environment Observations by Satellites) project. A set of readily interpreted AVHRR data from continental South-East Asia and from South America were used as test data set. The sampling design uses stratification of the AVHRR data by forest cover and forest fragmentation, the latter quantified by a simple fragmentation indexrnBlocks of TM and AVHRR frames were coregistered. Forest cover and fragmentation, measured in the blocks were used as explaining variable in the calibration regression to predict forest cover on TM. The calibration regression is calculated separately for each stratum and yields a corrected estimate of AVHRR forest cover.
机译：这项研究的目的是在TREES（热带生态系统环境观测）的框架内，通过高分辨率数据（LANDSAT TM 30m×30m）的样本对覆盖整个感兴趣区域的粗分辨率卫星数据（NOAA AVHRR LAC 1km×1km）进行校准。由卫星）项目。一组来自东南亚大陆和南美的易于解释的AVHRR数据被用作测试数据集。抽样设计使用通过森林覆盖和森林碎片化对AVHRR数据进行分层，然后通过简单的碎片化索引对森林碎片化进行量化。TM和AVHRR帧的块被共配准。用块中测得的森林覆盖率和破碎度作为解释回归中的变量来预测TM的森林覆盖率。分别为每个阶层计算校准回归，并得出AVHRR森林覆盖率的校正估计值。

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