1988年至2015年利用Landsat图像对深圳土地利用_土地覆盖变化和城市扩张进行动态监测

该数据集提供了1988年至2015年深圳的土地利用情况，该数据集已用于“利用1988年至15年的Landsat图像对深圳土地利用、土地覆盖变化和城市扩张进行动态监测”一文。如果你想利用这个数据集，请引用我们的以下论文。
Peng Dou&Yangbo Chen（2017）1988-2015年利用Landsat影像对深圳土地利用/土地覆盖变化和城市扩张的动态监测，国际遥感杂志，38:19，5388-5407，DOI:10.1080/01431161.2017.1339926
Peng Dou&Yangbo Chen（2017）使用带权重向量的AdaBoost（WV-AdaBoost）进行遥感图像分类，遥感快报，8:8733-742，DOI:10.1080/2150704X.2017.1319987
彭斗，陈杨波，岳海云（2018）基于AdaBoost的多分类算法遥感影像分类，国际遥感影像分类杂志遥感，39:3619-639
value category
1 forest
2 grassland
3 cultivated land
4 built-up area
5 bear land
6 waterbody

This dataset provides land use information of Shenzhen from 1988 to 2015. It has been utilized in the paper titled "Dynamic Monitoring of Land Use/Land Cover Change and Urban Expansion in Shenzhen Using Landsat Images from 1988 to 2015". If you wish to use this dataset, please cite the following papers:

1. Peng Dou & Yangbo Chen (2017) Dynamic Monitoring of Land Use/Land Cover Change and Urban Expansion in Shenzhen Using Landsat Images from 1988 to 2015, *International Journal of Remote Sensing*, 38(19), 5388–5407, DOI: 10.1080/01431161.2017.1339926
2. Peng Dou & Yangbo Chen (2017) Remote Sensing Image Classification Using AdaBoost with Weight Vector (WV-AdaBoost), *Remote Sensing Letters*, 8, 733–742, DOI: 10.1080/2150704X.2017.1319987
3. Peng Dou, Yangbo Chen & Haiyun Yue (2018) Remote Sensing Image Classification Based on AdaBoost Multi-Classification Algorithm, *International Journal of Remote Sensing and Image Classification*, 39, 3619–3639

Value categories:
1. forest
2. grassland
3. cultivated land
4. built-up area
5. bare land (corrected from "bear land" in the original source text, which is a typo)
6. waterbody