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遥感技术在林果种植区调查中的应用研究
引用本文:冯志敏,刘兆旭,辛海强.遥感技术在林果种植区调查中的应用研究[J].测绘与空间地理信息,2013(10):83-87.
作者姓名:冯志敏  刘兆旭  辛海强
作者单位:1. 新疆维吾尔自治区气候中心,新疆乌鲁木齐830002; 兰州大学大气科学学院,甘肃兰州730000
2. 新疆维吾尔自治区气候中心,新疆乌鲁木齐,830002
3. 北京大学遥感与地理信息系统研究所,北京100871; 新疆维吾尔自治区测绘科学研究院,新疆乌鲁木齐830002
基金项目:库尔勒市重点科技专项(2012-38)社会发展类资助
摘    要:利用遥感技术可以准确、快捷地获取各类林果种植信息,为林果农业种植结构调整、产业发展提供科学依据。本文选择阿克苏市及温宿县为研究区,以ALOS、HJ等卫星数据为主要信息源,采用林果光谱特征分析、地物反射率分析、地物植被指数分析、林果影像特征分析等方法进行林果种植区、种类、树龄的遥感解译识别。经过实地验证和精度的分析与评价,得到的林果种植信息具有较高的精度,能解决实际中的部分应用问题。

关 键 词:林果调查  卫星影像  遥感解译  精度分析

The Application Research of Remote Sensing Technology in Fruit Tree Planting Area Investigation
FENG Zhi-min , LIU Zhao-xu , XIN Hai-qiang.The Application Research of Remote Sensing Technology in Fruit Tree Planting Area Investigation[J].Geomatics & Spatial Information Technology,2013(10):83-87.
Authors:FENG Zhi-min  LIU Zhao-xu  XIN Hai-qiang
Institution:FENG Zhi - min1'2, LIU Zhao - xuj , XIN Hai - qiang3'4 ( 1. The Climate Center of Xinjiang, Urumqi 830002, China; 2. College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China; 3. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China; 4. Xinjiang Academy of Surveying and Mapping, Urumqi 830002, China)
Abstract:Using remote sensing technology can get all kinds of fruit tree cultivation information accurately and fast, and provide a sci- entific basis for the fruit trees agricultural planting structure adjustment and industrial development. This paper selects Aksu City and Wensu County as the study area and chooses ALOS and HJ satellite data as main information source. The paper studies fruit tree plant- ing area, species, age and other information based on the remote sensing interpretation identification of fruit tree spectral characteris- tics analysis, reflectance rate analysis, vegetation index analysis, fruit trees image characteristics analysis etc.. After on - site verifi- cation, accuracy analysis and evaluation, the result shows that the fruit planting information is of higher accuracy and it can solve part of the application problem.
Keywords:fruit tree investigation  satellite image  remote sensing interpretation  precision analysis
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