elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Assessment of the land reclamation condition using environmental variables in Ellikkala district, Karakalpakistan

Kenjabaev, Shavkat und Sultanov, Murod und Bauer, Christian (2017) Assessment of the land reclamation condition using environmental variables in Ellikkala district, Karakalpakistan. Tropentag 2017, 2017-10-19 - 2017-10-22, Bonn, Germany.

Dieses Archiv kann nicht den Volltext zur Verfügung stellen.

Kurzfassung

"Adverse amelioration condition of irrigated lands is an increasing problem to maintain sustainable agricultural production. Conventional methodology in land reclamation condition (LR) assessment is based on qualitative analysis of information from: (i) network of piezometer wells (e.g., groundwater table and salinity) and (ii) sampling sites (e.g. soil salinity). This method has certain disadvantages in terms of the time, approach and cost required for objective assessment and interpretation of LR condition. Moreover, the LR condition is affected by variable environmental conditions and management factors such as soil texture, fertility, water availability, drainage density and so on, among others. How can the available data from different organizations be integrated? What are the relationships amongst the factors? These are major issues which are not easily resolved. It is, however, only through an integrated, multi-level, approach that both the land and water management and the existing interactions amongst the individual components of the landscape can be evaluated. Therefore, it is often advantageous to aggregate several indicators into an index allowing different factors to be taken into account simultaneously in order to monitor the state of the environment. In response to these problems, main goal of this study is to explore and review existing assessment methods used in Uzbekistan to assess and map land reclamation condition and find out environmentally sensitive areas, on which further land improvement measures can be taken. The soil (texture), land condition (groundwater table) and water availability (distance to the irrigation systems) have found as main factors effecting on LR condition throughout the study region. The simplicity of approach with available data allows to identify, combine and understand the influencing factors on LR condition for better management of the land and its resources. "

elib-URL des Eintrags:https://elib.dlr.de/116771/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Assessment of the land reclamation condition using environmental variables in Ellikkala district, Karakalpakistan
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kenjabaev, Shavkatkenjabaev (at) yahoo.comNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Sultanov, MurodNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Bauer, Christianchristian.bauer2 (at) uni-wuerzburg.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2017
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Abandoned farmland, land degradation, land-use change, machine learning
Veranstaltungstitel:Tropentag 2017
Veranstaltungsort:Bonn, Germany
Veranstaltungsart:nationale Konferenz
Veranstaltungsbeginn:19 Oktober 2017
Veranstaltungsende:22 Oktober 2017
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum
Hinterlegt von: Wöhrl, Monika
Hinterlegt am:14 Dez 2017 11:31
Letzte Änderung:24 Apr 2024 20:21

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.