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

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 415 A preliminary study on NOAA images for non-destructive estimation of pasture biomass in semi-arid regions of China Ding Zhi Institute of Xinjiang Biology, Pedology, and Desert, Academia Sinica, China Tong Qing-xi, Zheng Lan-fen & Wang Er-he Airbone Remote Sensing Center, Academia Sinica, China Xiao Qiang-Uang, Chen Wei-ying & Zhou Ci-song National Meteorological Bureau, China ABSTRACT: advanced very nigh reaolution rediometer data from the JMOAA meteorological satellite have been used to study the vegetation biomass in the Xinjiang regions in China. The major data from NOAA was aquired with meteorological ground station by the ational meteorological bureau. For assessment of vegetation biomass the two channels of multispectral data were to form the Normalized Difference(ND). The spectral bands of these channels were 0.55—0.68 urn, and 0.725—1.10 um..The Normalized Difference value is very sensitive to the existance vege tation. The digital processing technique was used for estimation of the relationship between the Normalized Difference and vegetation biomass production. The ND data of the satellite images were conpared to field-sampling biomass data. It was found that the relationship bet ween the two values above was positive and satisfactory. The regression coefficient even ap proached 0.95. These results show that non-destructive methods for the estimation of the ve getation is prospective and effective. This paper, will deal with the principles, methods, and procedures for nOn-destructive esti mation of pasture biomass with NOAA images. Ideal results have been obtained, and thus fill in the gaps in the methods of non-destructive estimation pasture biomass in Chica. 1. INTRODUCTION 1.1 Physical geographic conditions in the test area The Xinjiang the pasture area has more than 400,000 KM^.The test area is mainly situated in the Middle and Lower Tarim River Basin, Xinjiang, and 1ies ( roughly between 40°30'N— 41°30 N, and 83 30 E—87°30 E. The sampling location lies approximately between 40°30 — 41°30'N, and 84°30'—87°F(Fig.l), and is lo in the interior Tarim Basin with mountainous surroundings far from the ocean. It is semi- arid desert climate in warm temporete zone with much dry wind, strong vaporation, rare preciptation, long sunshine and tremendous temperrature alternation. The annual precip tation is 25.1—51 mm., and the annual vapo ration is very high 2,100—2,900 mm.. In this region there are salty-desert typed soil and central asian desert typed plants, such as popular diversifolia, phyagmites com munis, and alhagi pseudoalhagi, etc. The test area is located in an alluvial p- lain at the northern margin of the Taklamakan Desert, and is a representative of arid region 1.2 NOAA satellite It is a polar orbiting, sun-synchronous, ope rating satellite in the TIROS-N series of spa cecraft. NOAA is characterized by high resolu tion. Images covering the whole world are able to be received twice a day. NOAA has a view field of 2,700 km wide, on which the NOAA ad vanced very high resolution radiometer(AVHRR) sensor is mounted. The first effective chan- nel(CHi) is visible red with a wavelength of 0.55—0.68 um, and the second one(CHp) is near infrared with a wavelength of 0.725--1.10 vim which are sensitively and directely suitable for estimation of biomass and the chloropyli green leaf interaction.(Tal.1) (Townsheng and Tucker, 1984) As well known, the Beijing Receiving Sta tion of NOAA Satellites was built in Beijing of China in 1983. The center in Beijing has a circle coverage with a radius of 2,500km. §nd most of the Chinese territory iscovered, including the Xinjiang region. The possibi lities ox orbiting cloud-free imagery are g reatly enhanced, especially, in the grow ing season of vegetation. Four to six orbiting data for one satel lite can be received in the Beijing Receiv ing Station of NOAA satellite, due to NOAA’s polar orbiting, sun synchronous and opera tional satellite, and NOAA operates with a coupie, sight or twelve orbits per day cou ld be obtained. It is svailable for monito ring changes in pasture biomass and estima ting crop production to receive one or two orbiting N0AA?s images, because of the NOAA’s advantages, and it is also valuable to col lect whole data from the growing season in spring to withered season in fall, thus itis is convenient to observe crop growing situ ations and their dynamic changes. In addi tion, if there are several rainfalls, chan ges in crops with preciptation- may be ob tained. Simultaneously, no matter during the day or night, data are effectively received, and thermo-inertia changes in soil moisture and water content of plant nay be known and the dynamic evolution in plant an advanta geous condition may be monitored. It is un comparable for MSS, which covers once every 1® day and the cycle duration is too long, If rainy or cloudy days are encountered, there is no way to get evident data, and an other 18 days will be needed to wait, during which plants may mature, further more, in that time span, if rain falls again, plants will grow at atremendous rate, thus there is no chance to get data on the changes in plant maturation. As a result, the NOAA is able to obtain data covering the whole pro-

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