Development of a satellite-based dynamic regional vegetation model for the Drâa catchment

نویسندگان

  • Gunter Menz
  • Sebastian Schmidtlein
  • Gisela Baumann
چکیده

....................................................................................................................................... XII 1 VEGETATION MONITORING IN SEMI ARID AREAS ..................................................... 13 1.1 Scientific Goals ...................................................................................................................................... 19 1.2 Outline .................................................................................................................................................. 21 2 THE DRÂA VALLEY IN SOUTHERN MOROCCO ............................................................. 22 2.1 Natural Formations ............................................................................................................................... 23 2.2 Climate and Meteorological Monitoring ............................................................................................... 24 2.3 Geology and Soil ................................................................................................................................... 27 2.3.1 Geology .............................................................................................................................................. 27 2.3.2 Soil ...................................................................................................................................................... 31 2.4 Vegetation formations inside the Drâa Catchment ............................................................................... 34 2.4.1 High Atlas Mountain, Jebel Siroua and Jebel Saghro (2200 m and up) .............................................. 35 2.4.2 South slopes of the Atlas Mountain range (1400 to 2400 m) ............................................................ 35 2.4.3 Presaharian/Saharan Flora ................................................................................................................. 36 2.4.4 Extrazonal vegetation ........................................................................................................................ 36 2.5 Pastoral land use ................................................................................................................................... 36 3 SPATIO TEMPORAL VEGETATION MODELLING .......................................................... 41 3.1 Vegetation Modelling conception ......................................................................................................... 41 3.2 MOVEG Drâa, a Dynamic Vegetation model .......................................................................................... 44 3.3 From Images and Meteorological Stations to Vegetation monitoring ................................................... 46 3.4 NDVI: Introduction and Relationship to other factors ........................................................................... 48 3.5 Primary Productivity and C-fixing with the remote eye ......................................................................... 54 II 4 DATA COLLECTION ............................................................................................................... 59 4.1 Meteorological Data ............................................................................................................................. 59 4.2 Field Measurement ............................................................................................................................... 63 4.2.1 Ground Truth Points........................................................................................................................... 63 4.2.2 Long Term Exclosure .......................................................................................................................... 64 4.2.3 Cage Experiment ................................................................................................................................ 65 4.3 MODIS satellite data ............................................................................................................................. 66 4.3.1 Sensor MODIS .................................................................................................................................... 66 4.3.2 Data format and handling .................................................................................................................. 67 4.3.3 MODIS NDVI ....................................................................................................................................... 72 5 DEVELOPMENT OF THE DYNAMIC REGIONAL MODEL MOVEG DRÂA ................. 75 5.1 General structure of MOVEG Drâa ........................................................................................................ 75 5.2 Enumeration of Input Parameters and Sampling Strategy ..................................................................... 76 5.3 Conversion MOVEG Drâa to IDL ............................................................................................................ 77 5.3.1 Programming with IDL ....................................................................................................................... 78 5.3.2 Parameterisation and Automation .................................................................................................... 79 5.4 Digital Elevation Model ......................................................................................................................... 80 5.5 Steering Module ................................................................................................................................... 82 5.6 Module Climate .................................................................................................................................... 84 5.7 Module Runoff Curvenumber................................................................................................................ 87 5.8 Development of Time Series using ENVI IDL .......................................................................................... 90 5.9 Module LAG .......................................................................................................................................... 91 5.10 Module Regression ........................................................................................................................... 92 5.10.1 Input and flow Indicator..................................................................................................................... 92 5.10.2 Projection Sub Module....................................................................................................................... 92 5.11 Module ANPP ................................................................................................................................... 97 5.12 Subroutines ...................................................................................................................................... 99 5.13 Quality Criteria ............................................................................................................................... 100 5.14 Module Forecast ............................................................................................................................. 102 5.15 Output format ................................................................................................................................ 106 6 RESULTS OF MOVEG DRAA............................................................................................... 107 6.1 Results Climate Data ........................................................................................................................... 107 6.1.1 Wind ................................................................................................................................................. 108 6.1.2 Temperature .................................................................................................................................... 108 6.1.3 Precipitation ..................................................................................................................................... 110

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Relationships between Geopedological Characteristics and Vegetation Cover: A Case Study in the Dagh-Finou Catchment, Hormozgan Province, Iran

The objective of this study was to assess the relationship betweenvegetation, landform and physicochemical properties of soil. At the first terrainmap unit were provided using the landsat thematic mapper (TM) satellite images,aerial photograph, topographical and geology map. Field sampling was done in therepresentative area using plot sampling. 104 plots 100 m2 were sampled in eachplot landform...

متن کامل

Assessment of Vegetation Temperature Status (VTCI) for monitoring drought in the watershed of Lake Urmia by using MODIS satellite imagery

Continuous decline in Lake Urmia water levels In recent years, the decline of rainfall and river flows and constant droughts has become the main concern of the people and the people. To study climate change and increase of temperature in the catchment area of ​​Lake Urmia, two factors for measuring the temperature and properties of satellite images were used which indicate the importance of lan...

متن کامل

Estimation of Runoff Peak Flow by El-Hames Empirical Method for Ungauged Catchments: A Case Study Iranshahr

In this paper, the El-Hames empirical method was used to determine the peak runoff flow in Iranshahr catchment. The El-Hames method is based on morphological parameters and SCS Curve Number of the studied area. The implementing was processed by collecting the required data including soil type and vegetation cover, land use maps, digital elevation model and satellite images from the associated i...

متن کامل

Presentation of Suitable Model to Estimate Vegetation Fraction Using Satellite Images in Arid Region (Case Study: Sadough- Yazd, Iran)

One of the influential tools concerning the rangeland and vegetation sciences isthe technology of remote sensing and satellite data. Satellite data have played essentialroles in preparing the needed information for studying the vegetation. Vegetation has beenwidely recognized as one of the best indicators for determining the land conditions. Usingvegetation indices is one of the techniques of r...

متن کامل

پایش زمانی و مکانی خشکسالی کشاورزی با استفاده از داده‌های سنجش از دور مورد مطالعه: استان مرکزی ایران

As a result of climate change and reduction in rainfall during the last decade, drought has become big problem in the world, especially in arid and semi-arid areas such as Iran. Therefore drought monitoring and management is great of important. In contrast with the traditional methods which are based on the ground stations measurements and meteorological drought monitoring, using the remote sen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011