TY  - BOOK
AU  - Thi Thu Ha, Nguyen
TI  - Earth observation for rice crop monitoring and yield estimation: application of satellite data and physically based models to the mekong delta
SN  - 9789061643487
U1  - 338.1 
PY  - 2013///
CY  - Netherland
PB  - ITC
KW  -  
N1  - CONTENTS
Acknowledgements !
Table of Contents iii
List of figures vi
List of tables  ix
List of abbreviations  x
Chapter 1 General Introduction  1
1.1Justification and need to estimate irrigated rice yield using
earth observation 2
1.2 Opportunities and challenges of using RS for crop yield estimation 5
1.3 Objectives of the thesis 8
Chapter 2 Mapping rice cropping patterns  13
2.1Introduction 15
2.2Data and methods 	18
2.2.1Rice cultivation in the Mekong delta 	18
2.2.2 Data 19
2.2.3 Image classification 20
2.2.4 Construction of the rice cropping pattern map  22
2.2.5Validation 23
2.3  Results 23
2.3.1Unsupervised classification 23
2.3.2 Rice cropping pattern map  25
2.3.3 Validation 29
2.4  Discussion and conclusions   29
Acknowledgment  33
Chapter 3 LaHMa: a new method to map landscape heterogeneity   35
3.1 Introduction  37
3.1.1 Spatial hererogeneity  37
3.1.2 Hyper-temporal NDVI Images  39
3.1.3 The ISODATA clustering technique and cluster separability
 Indices  40
3.2 Materials and Method  43
3.2.1 Data  43
3.2.2 Method  44
3.3  Results   47
3.2.1ISODATA clustering of the hyper-temporal NDVI image
Datasets  47
3.2.2 The ISODATA generated land unit maps and their NDVI
Profiles 49
3.2.3 The landscape heterogeneity maps 50
3.3 Discussion   51
Chapter 4 Remote sensing of leaf area index for irrigated rice   55
4.1 Introduction  57
4.2 Materials  59
4.2.1 Study area  59
4.2.2 MODISdata   60
4.2.3 In situ LAI  61
4.2.4 Leaf chlorophyll content   61
4.3 Methods   62
4.3.1Comparison of in situ LAI and MOD15A2 LAI   62
4.3.2 The SLC model   63
4.3.3 LAI estimation based on the look-up table inversion   65
4.4 Results and Discussion   67
4.4.1 Comparison of in situ LAI and MOD15A2 product   67
4.4.2 LAI estimation from LUT inversion  70
4.5 Conclusion  75
Acknowledgement  76
Chapter 5 Coupling remotely sensed LAI with a crop growth model for rice yield estimation   77
5.1 Introduction  81
5.2 Materials and Methods    83
5.2.1Data  83
5.2.2 LAI estimation through soil-leaf-canopy RTM using MODIS reflectance data 84
5.2.3 Yield estimation using ORYZA2000 crop model  85
5.3 Results and Discussion 87
5.3.1Rice LAI estimation by SLC model  87
5.3.2 Assimilation of SLC LAI into ORYZA200 model and rice yield
Estimation  88
5.4 Conclusion  91
Acknowledgement  93
Chapter 6 General Discussion: Earth observation for rice heterogeneity mapping and yield estimation  95
6.1 Hyper-temporal SPOT VGT NDVI for rice cropping pattern
Mapping  96
6.2 A comparison of SPOT VGT and MODIS Terra NDVI data for
mappingagroecological heterogeneity at landscape level   97
6.3 Seasonal LAI estimation for irrigated rice by inversion of
radiative transfer model  98
6.4 Forcing remotely sensed LAI into ORYZA2000 crop growth
simulation model for rice yield estimation  99
6.5 Conclusions   100
6.6 Recommendations: future research and development   102
Bibliography  105
Summary   129
Samenvatting  131
Publications 133
Curriculum vitae   135
ITC Dissertation List   137

ER  -