scholarly journals Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau

Rangifer ◽  
2004 ◽  
pp. 53-63 ◽  
Author(s):  
Timo Kumpula ◽  
Alfred Colpaert ◽  
Wang Qian ◽  
Angela Manderscheid

The animal husbandry practised on high altitude pastures of the eastern Tibetan Plateau is based on the use of natural pastures. The livestock consists of yaks, sheep and horses. During the recent decades the number of animals has increased in the Dzoge study area, which is located in the north western part of the Sichuan province at an altitude of 2800-4000 meters. Most of Dzoge is treeless grassland with large peat land areas. The remote sensing and Geographical Information System (GIS) methods combined with the conventional pasture mapping provide a methodology to make a cost effective and reliable inventory of large areas. Providing accurate data about the quality and quantity of pastures and also of the amount of natural forage resources promotes sustainable use of the pastures. Two field trips were made to Dzoge. Random test plots (186) covering the main vegetation types in the research area were selected. The Landsat TM image is the remote sensing data in used this study. The image classification was done in the ERMapper program. The final map producing and the accuracy assessment were performed in the ArcGIS program. The Landsat TM image proved to be a useful data source in the mapping of pastures in the Dzoge area. The main vegetation classes were classified accurately. The estimations of the biomass of different vegetation types were made. Elevation differences were relatively small and the shadows on the slopes did not affect the classification significantly.

2008 ◽  
Vol 112 (5) ◽  
pp. 2485-2494 ◽  
Author(s):  
Sirpa Thessler ◽  
Steven Sesnie ◽  
Zayra S. Ramos Bendaña ◽  
Kalle Ruokolainen ◽  
Erkki Tomppo ◽  
...  

1993 ◽  
Vol 44 (2) ◽  
pp. 235 ◽  
Author(s):  
RM Johnston ◽  
MM Barson

This study aimed to develop simple remote-sensing techniques suitable for mapping and monitoring wetlands, using Landsat TM imagery of inland wetland sites in Victoria and New South Wales. A range of classification methods was examined in attempts to map the location and extent of wetlands and their vegetation types. Multi-temporal imagery (winter/spring and summer) was used to display seasonal variability in water regime and vegetation status. Simple density slicing of the mid-infrared band (TM5) from imagery taken during wet conditions was useful for mapping the location and extent of inundated areas. None of the classification methods tested reproduced field maps of dominant vegetation species; however, density slicing of multi-temporal imagery produced classes based on seasonal variation in water regime and vegetation status that are useful for reconnaissance mapping and for examining variability in previously mapped units. Satellite imagery is unlikely to replace aerial photography for detailed mapping of wetland vegetation types, particularly where ecological gradients are steep, as in many riverine systems. However, it has much to offer in monitoring changes in water regime and in reconnaissance mapping at regional scales.


2014 ◽  
Vol 72 (12) ◽  
pp. 5183-5196 ◽  
Author(s):  
Prashant K. Srivastava ◽  
Dawei Han ◽  
Miguel A. Rico-Ramirez ◽  
Michaela Bray ◽  
Tanvir Islam ◽  
...  

1994 ◽  
Vol 20 ◽  
pp. 407-412 ◽  
Author(s):  
Jane G. Ferrigno ◽  
Jerry L. Mullins ◽  
Jo Anne Stapleton ◽  
Robert A. Bindschadler ◽  
Ted A. Scambos ◽  
...  

Fifteen 1: 250000 and one 1: 1000 000 scale Landsat Thematic Mapper (TM) image mosaic maps are currently being produced of the West Antarctic ice streams on the Shirase and Siple Coasts. Landsat TM images were acquired between 1984 and 1990 in an area bounded approximately by 78°-82.5°S and 120°- 160° W. Landsat TM bands 2, 3 and 4 were combined to produce a single band, thereby maximizing data content and improving the signal-to-noise ratio. The summed single band was processed with a combination of high- and low-pass filters to remove longitudinal striping and normalize solar elevation-angle effects. The images were mosaicked and transformed to a Lambert conformal conic projection using a cubic-convolution algorithm. The projection transformation was controled with ten weighted geodetic ground-control points and internal image-to-image pass points with annotation of major glaciological features. The image maps are being published in two formats: conventional printed map sheets and on a CD-ROM.


2007 ◽  
Vol 17 (3) ◽  
pp. 250-256 ◽  
Author(s):  
Yueming Qi ◽  
Haiqiao Tan ◽  
Xing Liang

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