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Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China

机译：整合交叉传感器高空间分辨率卫星图像以检测紫色山脉的微妙森林植被变化，是南京，中国南京国家景区

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Fangyan Zhu; Wenjuan Shen; Jiaojiao Diao; Mingshi Li; Guang Zheng;
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1. Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains,a national scenic spot in Nanjing, China [J] . Fangyan Zhu, Wenjuan Shen, Jiaojiao Diao, 林业研究（英文版） . 2020,第005期

机译：整合跨传感器高分辨率空间卫星图像以检测南京国家级风景名胜区紫金山的微妙森林植被变化
2. Estimating Forest Aboveground Biomass by Combining ALOS PALSAR and WorldView-2 Data: A Case Study at Purple Mountain National Park, Nanjing, China [J] . Masato Katoh, Mingyang Li, Na Yin, Remote Sensing . 2014,第9期

机译：结合ALOS PALSAR和WorldView-2数据估算森林地上生物量：以南京紫金山国家公园为例
3. Modeling the scenic beauty of autumnal tree color at the landscape scale: A case study of Purple Mountain, Nanjing, China [J] . Wang Zi, Li Mingyang, Zhang Xiuhong, Urban Forestry & Urban Greening . 2020,第期

机译：景观规模塑造秋季树木风景秀丽 - 以南京南京紫山案例研究
4. Forest fire risk zone evaluation based on high spatial resolution RS image in Liangyungang Huaguo Mountain Scenic Spot [C] . Gao Xiangwei, Fei Xianyun, Xie Hongquan 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services . 2011

机译：基于高空间分辨率遥感影像的两云港花果山风景区森林火灾危险区评价
5. Quantifying Percent-Cover in Prescott National Forest, Arizona; Through the Integration of Landsat Imagery, Vegetation Indices, and Spatial Transformations. [D] . Schirmang, Tracy Lynn. 2012

机译：亚利桑那州普雷斯科特国家森林的定量覆盖率；通过整合Landsat影像，植被指数和空间转换。
6. Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery [O] . Ronghua Ma, Hongtao Duan, Xiaohong Gu, 2012

机译：利用多时相卫星图像探测中国太湖水生植被的变化
7. Correction to: Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China [O] . Fangyan Zhu, Wenjuan Shen, Jiaojiao Diao, 2019

机译：校正：整合交叉传感器高空间分辨率卫星图像以检测紫色山脉微妙的森林植被变化，南京全国风景区
8. Forest Classification with High Resolution Satellite Images. Research into theUse of Spatial Information to Improve the Multi-Spectral Classification with Spot Images [R] . 1990

机译：高分辨率卫星影像的森林分类。利用斑点图像改善空间信息的多光谱分类研究

Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China

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