Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

Bibliographic data

Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: A preliminary study on NOAA images for non-destructive estimation of pasture biomass in semi-arid regions of China. Ding Zhi, Tong Qing-xi, Zheng Lan-fen & Wang Er-he, Xiao Qiang-Uang, Chen Wei-ying & Zhou Ci-song

Document type:: Multivolume work

Structure type:: Chapter

965; Wool- t years, ing biomass such as u- estimate o predict pasture inted out 76-0.78 um use the tion, and heric water eaf area n, and ra- infrared ., the 101W to integ- .ated at ■hich is > of NOAA, ysis(Fig.2) ipling fra- this area the corre- with the idel, green 'ouse et al., will be ¡en leaf ' near inf- :nsity, the ’ore, it is ) estimate ;hat the ND of view be- mgth effec- l , and if .s high and î reduced to 984). Tarim River 1 on the 29th me, 1985, of NOAA Sa- îllite Cen- ш, China, ЗН2+СН-1 , and labi«? I. Comparision of the MuAA AVIIkk and l^VNUSAl' 'iGS. Sources: KidwelK1981),NASA(1976) and General tlectric(undated). Chnractoristic landsat/mss* noaa/avhrr inclination of orbit °- i 99.092° ileinht above surface 916.6km 833km. Number of orbits/day 14 14.2 Times of coverage at equator 09.30 07.30 descending,. . , r, ->n . • J thOAA-e 19.30 ascending 1 02.30 descending,... . . .. 11.30 ascending r 0AA -‘ orbital period 103.3 min 102 min Latitudinal coverage B0°N-82°S 90°N-90°S Cycle duration 18 days c.l day : round coverage 185 km c.3000 km Field of view(FUV) + 5.78° C£° + 56 Instantaneous field ofview 0.086 mrad 1.39-1.51 mrad (1FuV) Grouc* resolution(nadir) 79m 1.1 km Groijd resolution 79.5 m along track 2.4km along track (maximum off-nadir) 80 m across track 6.9km across track Samples per IFOV 1.411 1.362 Number of channels 0.5 - 0.6 0.58 - 0.68 0.6 - 0.7 0.725- 1.10 0.7 - 0.H 3.55-3.93 0.8 - 1.0** 10.5 - 11.5 (U.5-12.5*«*) Data precision 6 or 7 bit 10 bit ♦LANDSAT-4 has a rather lower orbit(725 km) and a cycle duration of 16 days but overall the Mss has very similar properties to those .of previous LANDSATs. It also contains the 7 band, 30 m IFuV The matic Mapper. ♦•This is a more accorate repres«?ntation of the spectral bandwidths than the value of 0.8-1.1 >im which is normally quoted. *** un I40AA-7 only. Table2. ground-collected predominately green clipped wet biomass. Plots Sample names* Coveraqe (%) wet biomass (kg/mu)* * 1 Phragmites Communis 25 - 30 405 2 Phragmites Communis + Alhagi Pseudoalhagi • 40 936 3 High Phragmites Communis 25 - 30 585 4 Poacynum Hanjlersonii + Glycyrrhiza Uralensis + Lycium Kuthenicum 90 1305 5 High Phragmites Communis 50 - 60 1305 6 Calamagrostio Hpigejps 70 - 80 765 7 Phragmites Communis 10 315 6 Phragmites Communis + Kereiinia caspica + Kalidium caspicum + Alhagi Pseudoalhagi 40 169 9 Short Phragmites Communis 20 - 25 270 10 Phragmites Communis 30 - 35 400 11 High Phragmites Communis 40 1080 *in Latin. **One Chinese mu = 0.0667 ha. through the HP1000 image processing system in this center, a map(Fig.3) of the ND dis tribution has been portryed. It is clearly illustrated that the high ND value is along both sides of the Tarim River, while the lo ver ND value is in the south area where the desert is occupied. To compare the ND value with green leaf biomass, 11 sampling locations with 1 m 2 area plot were operated, for each plot wet grass matter by hand clipping was weighed, and meanwhile, the ND value was calculated. Pi# 2 The relationship between ND with the field spectral radiator and wet biomass in the test area. Fig.3 The Normolized Difference for the Ta rim River Basin in Xinjiang from NOAA AVHRR on 13th of June, 1983. WET BIOMASS (.kg/mu) Fig.4. The relationship between Nd from NOAA data and wet biomass in the test area. Than, a correlation analysis is shown in Fi~ g.4. The sketch explain that the relation ship between ND and green leaf biomass is very available, and the correlation coeffi cient arises to that of r = 0.95, According

Access restriction

Copyright

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation