High Altitude Stationary Clouds Detection Algorithm as an Earthquake Precursor Using MODIS Terra/Aqua Satellite Data

2013 ◽  
Author(s):  
M. Zia
Keyword(s):  
High Altitude ◽  
Satellite Data ◽  
Detection Algorithm ◽  
Earthquake Precursor ◽  
Aqua Satellite

scholarly journals Validation of Aqua satellite data in the upper troposphere and lower stratosphere with in situ aircraft instruments

2004 ◽  
Vol 31 (22) ◽  
Author(s):  
A. Gettelman ◽  
E. M. Weinstock ◽  
E. J. Fetzer ◽  
F. W. Irion ◽  
A. Eldering ◽  
...  
Keyword(s):  
Satellite Data ◽  
Lower Stratosphere ◽  
Upper Troposphere ◽  
Aqua Satellite

scholarly journals Hydrological differentiation and spatial distribution of high altitude wetlands in a semi-arid Andean region derived from satellite data

2011 ◽  
Vol 8 (1) ◽  
pp. 1287-1327 ◽  
Author(s):  
M. Otto ◽  
D. Scherer ◽  
J. Richters
Keyword(s):  
High Altitude ◽  
Satellite Data ◽  
Regional Scale ◽  
Austral Summer ◽  
Monthly Precipitation ◽  
Austral Winter ◽  
Andean Region ◽  
Study Region ◽  
The Andes ◽  
Semi Arid

Abstract. High Altitude Wetlands of the Andes (HAWA) are unique types of wetlands within the semi-arid high Andean region. Knowledge about HAWA has been derived mainly from studies at single sites within different parts of the Andes at only small time scales. On the one hand HAWA depend on water provided by glacier streams, snow melt or precipitation. On the other hand, they are suspected to influence hydrology through water retention and vegetation growth altering stream flow velocity. We derived HAWA land cover from satellite data at regional scale and analysed changes in connection with precipitation over the last decade. Perennial and temporal HAWA subtypes can be distinguished by seasonal changes of photosynthetically active vegetation (PAV) indicating the perennial or temporal availability of water during the year. HAWA have been delineated within a region of 11 000 km2 situated in the Northwest of Lake Titicaca. The multi temporal classification method used Normalized Differenced Vegetation Index (NDVI) and Normalized Differenced Infrared Index (NDII) data derived from two Landsat ETM+ scenes at the end of austral winter (September 2000) and at the end of austral summer (May 2001). The mapping result indicates an unexpected high abundance of HAWA covering about 800 km2 of the study region (6%). Annual HAWA mapping was computed using NDVI 16-day composites of Moderate Resolution Imaging Spectroradiometer (MODIS). Analyses on the reletation between HAWA and precipitation was based on monthly precipitation data of the Tropical Rain Measurement Mission (TRMM 3B43) and MODIS Eight Day Maximum Snow Extent data (MOD10A2) from 2000 to 2010. We found HAWA subtype specific dependencies to precipitation conditions. Strong relation exists between perennial HAWA and snow fall (r2: 0.82) in dry austral winter months (June to August) and between temporal HAWA and precipitation (r2: 0.75) during austral summer (March to May). Annual spatial patterns of perennial HAWA indicated spatial alteration of water supply for PAV up to several hundred metres at a single HAWA site.

scholarly journals Hydrological differentiation and spatial distribution of high altitude wetlands in a semi-arid Andean region derived from satellite data

2011 ◽  
Vol 15 (5) ◽  
pp. 1713-1727 ◽  
Author(s):  
M. Otto ◽  
D. Scherer ◽  
J. Richters
Keyword(s):  
High Altitude ◽  
Satellite Data ◽  
Austral Summer ◽  
Snow Melt ◽  
Austral Winter ◽  
Andean Region ◽  
Unique Type ◽  
Study Region ◽  
The Andes ◽  
Semi Arid

Abstract. High Altitude Wetlands of the Andes (HAWA) belong to a unique type of wetland within the semi-arid high Andean region. Knowledge about HAWA has been derived mainly from studies at single sites within different parts of the Andes at only small time scales. On the one hand, HAWA depend on water provided by glacier streams, snow melt or precipitation. On the other hand, they are suspected to influence hydrology through water retention and vegetation growth altering stream flow velocity. We derived HAWA land cover from satellite data at regional scale and analysed changes in connection with precipitation over the last decade. Perennial and temporal HAWA subtypes can be distinguished by seasonal changes of photosynthetically active vegetation (PAV) indicating the perennial or temporal availability of water during the year. HAWA have been delineated within a region of 12 800 km2 situated in the Northwest of Lake Titicaca. The multi-temporal classification method used Normalized Differenced Vegetation Index (NDVI) and Normalized Differenced Infrared Index (NDII) data derived from two Landsat ETM+ scenes at the end of austral winter (September 2000) and at the end of austral summer (May 2001). The mapping result indicates an unexpected high abundance of HAWA covering about 800 km2 of the study region (6 %). Annual HAWA mapping was computed using NDVI 16-day composites of Moderate Resolution Imaging Spectroradiometer (MODIS). Analyses on the relation between HAWA and precipitation was based on monthly precipitation data of the Tropical Rain Measurement Mission (TRMM 3B43) and MODIS Eight Day Maximum Snow Extent data (MOD10A2) from 2000 to 2010. We found HAWA subtype specific dependencies on precipitation conditions. A strong relation exists between perennial HAWA and snow fall (r2: 0.82) in dry austral winter months (June to August) and between temporal HAWA and precipitation (r2: 0.75) during austral summer (March to May). Annual changes in spatial extend of perennial HAWA indicate alterations in annual water supply generated from snow melt.

scholarly journals Missing ozone at high altitude: Comparison of in situ and satellite data

2002 ◽  
Vol 107 (D11) ◽  
pp. ACH 2-1-ACH 2-5 ◽  
Author(s):  
V. W. J. H. Kirchhoff ◽  
F. L. Guarnieri
Keyword(s):  
High Altitude ◽  
Satellite Data

scholarly journals AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan

2018 ◽  
Vol 08 (10) ◽  
pp. 1002-1018
Author(s):  
Usman Saleem ◽  
Mian Sohail Akram ◽  
Muhammad Fahad Ullah ◽  
Faisal Rehman ◽  
Muhammad Riaz Khan
Keyword(s):  
Satellite Data ◽  
Geopotential Height ◽  
Aqua Satellite

scholarly journals DECISION TREE CLOUD DETECTION ALGORITHM BASED ON FY-4A SATELLITE DATA

2019 ◽  
Vol XLII-3/W9 ◽  
pp. 219-226
Author(s):  
Z. F. Yu ◽  
W. H. Ai ◽  
Z. H. Tan ◽  
W. Yan
Keyword(s):  
Decision Tree ◽  
Brightness Temperature ◽  
Temperature Difference ◽  
Satellite Data ◽  
Detection Algorithm ◽  
Processing Technology ◽  
Cloud Detection ◽  
Detection Model ◽  
Meteorological Satellite

Abstract. In order to study the on-board processing technology of meteorological satellites, a decision tree cloud detection algorithm is proposed by taking FY-4A satellite data as an example. According to the channel setting of the Advanced Geosynchronous Radiation Imager (AGRI) on FY-4A satellite, the 0.65 μm, 1.375 μm, 3.75 μm, and 10.7 μm bands are selected as the cloud detection channels, and the reflectance, brightness temperature or bright temperature difference of the four channels are used as the cloud detection indicators, the thresholds of the four cloud detection indicators are obtained through statistics. On this basis, the decision tree cloud detection model is constructed and validated using FY-4A satellite data. The results show that the algorithm is simple, convenient and efficient, and the overall effect of cloud detection is good. It is an effective way for meteorological satellite cloud detection on-board processing technology.

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