《植被與生態(tài)遙感》是一部系統(tǒng)介紹植被和生態(tài)科學(xué)與遙感科學(xué)交叉領(lǐng)域研究的學(xué)術(shù)專著，在內(nèi)容和結(jié)構(gòu)上力求反映國(guó)際前沿和熱點(diǎn)。主要內(nèi)容包括：植被與生態(tài)遙感原理與信息源，植被和生態(tài)參數(shù)遙感反演，植被水分和生態(tài)干旱遙感，農(nóng)業(yè)植被面積估算與植被生物量遙感，植被與土地分類遙感，氣候一直被生態(tài)相互作用遙感，植被退化與土壤風(fēng)力侵蝕定量模型，土壤風(fēng)力侵蝕遙感與影響。
《植被與生態(tài)遙感》可供從事遙感、植被、生態(tài)、氣候、水文、環(huán)境、規(guī)劃、氣象和防災(zāi)減災(zāi)等專業(yè)的科研人員和高等院校師生參考。
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目錄
前言
第1章 緒論 1
1.1 植被生態(tài)系統(tǒng)在全球氣候系統(tǒng)的作用 1
1.2 植被與生態(tài)遙感研究 10
參考文獻(xiàn) 17
第2章 陸地植被參數(shù)遙感 23
2.1 植被葉面積指數(shù)遙感 23
2.2 植被三維結(jié)構(gòu)遙感建模 41
2.3 植被氣孔導(dǎo)度遙感 52
參考文獻(xiàn) 57
第3章 植被水分和干旱遙感 62
3.1 引言 62
3.2 高光譜與多角度野外作物水分觀測(cè) 70
3.3 輻射傳輸模型及多角度分析 77
3.4 去除土壤背景影響的植被水分指數(shù) 88
3.5 衛(wèi)星遙感數(shù)據(jù)反演植被水分分布 104
參考文獻(xiàn) 112
第4章 農(nóng)業(yè)植被面積遙感估算 116
4.1 農(nóng)業(yè)植被種植面積遙感進(jìn)展 116
4.2 融合多源遙感和地面觀測(cè)的農(nóng)業(yè)植被面積遙感 119
4.3 典型區(qū)農(nóng)業(yè)植被面積遙感估算 128
參考文獻(xiàn) 136
第5章 陸地植被生產(chǎn)力遙感 139
5.1 陸地植被生產(chǎn)力研究意義 139
5.2 陸地植被生產(chǎn)力研究進(jìn)展 140
5.3 森林植被生產(chǎn)力遙感 144
5.4 森林植被NPP 尺度轉(zhuǎn)換方法 159
5.5 作物產(chǎn)量遙感估算 175
5.6 高原草地生物量遙感 184
參考文獻(xiàn) 189
第6章 植被與土地覆蓋分類及動(dòng)態(tài)評(píng)價(jià) 194
6.1 陸面植被覆蓋分類遙感 194
6.2 基于MODIS遙感數(shù)據(jù)的土地覆蓋分類與評(píng)價(jià) 202
6.3 基于TM數(shù)據(jù)的土地覆蓋分類——以城市為例 210
6.4 基于ASTER遙感數(shù)據(jù)的土地利用分類 217
6.5 小結(jié) 223
參考文獻(xiàn) 224
第7章 氣候-陸面植被相互作用遙感 227
7.1 陸面過(guò)程參數(shù)化遙感 227
7.2 全球生態(tài)-氣候響應(yīng)遙感 231
7.3 區(qū)域生態(tài)對(duì)東亞季風(fēng)的響應(yīng) 235
7.4 青藏高寒生態(tài)區(qū)植被-氣候相互作用 239
7.5 小結(jié) 255
參考文獻(xiàn) 255
第8章 土壤風(fēng)力侵蝕因子遙感定量模型 258
8.1 中國(guó)土壤風(fēng)力侵蝕強(qiáng)度定量遙感 258
8.2 中國(guó)風(fēng)場(chǎng)強(qiáng)度因子定量分析 268
8.3 中國(guó)土壤可蝕性因子定量遙感 277
8.4 中國(guó)土壤結(jié)皮因子定量分析 280
8.5 中國(guó)積雪因子定量遙感 286
參考文獻(xiàn) 296
第9章 土壤風(fēng)力侵蝕遙感與影響 300
9.1 中國(guó)沙地空間分布及其變化監(jiān)測(cè) 300
9.2 中國(guó)綠洲區(qū)耕地和沙地變化 309
9.3 青藏高原土壤風(fēng)力侵蝕與影響 327
9.4 內(nèi)蒙古土壤風(fēng)力侵蝕動(dòng)態(tài)遙感與影響 334
參考文獻(xiàn) 359
彩圖
Contents
Preface
Chapter 1 Introduction 1
1.1 Vegetation ecological role in the global climate system 1
1.2 Remote sensing of vegetation and ecological research 10
References 17
Chapter 2 Remote sensing of terrestrial vegetation parameters 23
2.1 Remote sensing of vegetation leaf area index 23
2.2 Three-dimensional structure of vegetation remote sensing modeling 41
2.3 Remote sensing of vegetation stomatal conductance 52
References 57
Chapter 3 Remote sensing of vegetation moisture and drought 62
3.1 Introduction 62
3.2 Crop water with hyperspectral and multi-angle observation 70
3.3 The radiative transfer model and multi-angle analyses 77
3.4 Vegetation water index removing the soil background effect 88
3.5 Vegetation moisture spatial distribution based on remote sensing 104
References 112
Chapter 4 Cropland area remote sensing 116
4.1 Progress of crop land area remote sensing 116
4.2 Cropland area remote sensing integrated multi-source and ground observations 119
4.3 Typical cropland area remote sensing 128
References 136
Chapter 5 Vegetation primary productivity remote sensing 139
5.1 Research significance of vegetation primary productivity 139
5.2 Research progress of vegetation primary productivity 140
5.3 Remote sensing of forest vegetation primary productivity 144
5.4 Scale transfer of forest vegetation NPP 159
5.5 Crop yield remote sensing estimation 175
5.6 Grassland biomass remote sensing estimate in Qinghai-Tibet Plateau 184
References 189
Chapter 6 Land cover classification remote sensing and evaluation 194
6.1 Remote sensing of land surface vegetation classification 194
6.2 Land cover based on the MODIS and evaluation 202
6.3 Urban land cover change based on the TM data and evaluation 210
6.4 Land use classification based on ASTER data 217
6.5 Summery 223
References 224
Chapter 7 Remote sensing of climate-vegetation interactions 227
7.1 Land surface processes parameters remote sensing 227
7.2 Analysis of global ecosystem in response to climate 231
7.3 Remote sensing of regional ecology in response to the East Asian monsoon 235
7.4 Analysis of the Qinghai-Tibet alpine vegetation-climate interaction 239
7.5 Summery 255
References 255
Chapter 8 Quantitative remote sensing of soil wind erosion model in China 258
8.1 Chinese soil wind erosion intensity quantitative remote sensing 258
8.2 Chinese wind intensity factor quantitative remote sensing 268
8.3 Chinese soil erodibility factor quantitative remote sensing 277
8.4 Chinese soil crust factor quantitative remote sensing 280
8.5 Chinese snow cover factor quantitative remote sensing 286
References 296
Chapter 9 Remote sensing of soil wind erosion and impact assessment 300
9.1 Remote sensing of Chinese sand changes in spatial distribution 300
9.2 Remote Sensing of arable land in China？？s oasis and sandy land change 309
9.3 Remote sensing of Qinghai-Tibet Plateau soil wind erosion and assessment 327
9.4 Remote sensing of soil wind erosion in Inner Mongolia and assessment 334
References 359
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