Search for dissertations about: "NOAA AVHRR"

Found 5 swedish dissertations containing the words NOAA AVHRR.

2. 1. Mapping Primary Production for the West African Sahel with Satellite Data

   Author : Jonathan Seaquist; Institutionen för naturgeografi och ekosystemvetenskap; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Physical geography; Sahel; CENTURY; Monte Carlo; GPP; transpiration; LUE; CLAVR; PAR; compositing; MVC; geostatistics; noise; NDVI; NOAA AVHRR; geomorphology; pedology; cartography; climatology; Fysisk geografi; geomorfologi; marklära; kartografi; klimatologi;

   Abstract : A light Use Efficiency (LUE) model is developed that allows the mapping of total growing season Gross Primary Production (GPP) for the West African Sahel, using the Normalized Difference Vegetation Index (NDVI) together with other data. Image quality may be poor in monthly NDVI maximum value composites as shown by an improved geostatistical noise estimation technique. READ MORE

4. 2. AVHRR NDVI for monitoring and mapping of vegetation and drought in East African environments

   Author : Lars Eklundh; Institutionen för naturgeografi och ekosystemvetenskap; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geologi; fysisk geografi; physical geography; Geology; phenology; seasonality; Fourier series; geostatistics; signal-to-noise ratio;

   Abstract : In this thesis, an assessment is made of the performance of the Normalized Difference Vegetation Index (NDVI) derived from coarse resolution data from the NOAA AVHRR sensor, with particular reference to mapping and monitoring of drought and vegetation in East African vegetation and climatic conditions. Methods for analysing time series of satellite data are investigated. READ MORE

5. 3. Land degradation and mitigation in northern China. Evaluated from the biological production

   Author : Micael Runnström; Institutionen för naturgeografi och ekosystemvetenskap; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; marklära; geomorfologi; Fysisk geografi; climatology; kartografi; klimatologi; cartography; pedology; desertification; China; GPP; Mu Us; LUE-model; overgrazing; Physical geography; geomorphology;

   Abstract : Land degradation is commonly perceived to be severe in many parts of semi arid China. The transition towards market economy since the 1978 reforms, have set marginal dry lands under added pressure in the form of increased livestock numbers and expanding cultivation on erosive soils. READ MORE

6. 4. Recent changes in land use and productivity in agro-pastoral Inner Mongolia, China

   Author : Sara Brogaard; LUCSUS; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; geomorphology; Physical geography; China; Inner Mongolia; remote sensing; LUE model; primary production; GPP; yield variability; land degradation; farmers’ perception; productivity; Land use; pedology; cartography; climatology; Fysisk geografi; geomorfologi; marklära; kartografi; klimatologi;

   Abstract : This study challenges the prevailing assumption that the expansion of cultivated land areas and increasing number of livestock in the agro-pastoral regions of northern China have aggravated the process of land degradation since the start of the rural reforms in 1978. Land-use and productivity trends in the Inner Mongolia Autonomous Region (IMAR), with special attention to the Keerqin steppe region, have been analysed. READ MORE

7. 5. The use of a satellite-derived cloud climatology for studying cloud-aerosol processes and the performance of regional cloud climate simulations

   Author : Karl-Göran Karlsson; Erland Källen; Jon-Egil Kristjansson; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Clouds and climate; satellite cloud climatology; validation of clouds; clouds and aerosols; Meteorology; Meteorologi;

   Abstract : The entry of satellite-derived decadal cloud datasets with homogeneous coverage in time and space enables studies not possible before. This thesis presents two such applications. The first study deals with cloud-aerosol processes and the second with an evaluation of cloud simulations from a regional climate model. READ MORE