Výsledky vyhledávání - "Mirzahayot Ibrakhimov"

SAR and optical time series for crop classification

Autor: Mirzahayot Ibrakhimov, Galina Stulina, Dimo Dimov, Christopher Conrad, Fabian Löw

Publikováno v: IGARSS

In this study, we compare the classification performance of time series with single polarized SAR data, optical data and fused optical and SAR data through the Gram-Schmidt transform. Different machine learning algorithms for crop classification were

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3ccdba7ff2e9e046d3749a0edec70c5
https://doi.org/10.1109/igarss.2017.8127076

Zobrazit plný text záznamu

Framework for agricultural performance assessment based on MODIS multitemporal data

Autor: Chandrashekhar Biradar, Fabian Löw, Olena Dubovyk, Dimo Dimov, Mirzahayot Ibrakhimov, Shavkat Kenjabaev, Johannes H. Uhl

Publikováno v: Journal of Applied Remote Sensing. 13:1

We present a hierarchical classification framework for automated detection and mapping of spatial patterns of agricultural performance using satellite-based Earth observation data exemplified for the Aral Sea Basin (ASB) in Central Asia. The core ele

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db1ed90e85cb45cc59bcd59ada775ef8
https://doi.org/10.1117/1.jrs.13.025501

Zobrazit plný text záznamu

Groundwater table and salinity: Spatial and temporal distribution and influence on soil salinization in Khorezm region (Uzbekistan, Aral Sea Basin)

Autor: Paul L. G. Vlek, G. Paluasheva, Bernhard Tischbein, I. Forkutsa, John P. A. Lamers, Mirzahayot Ibrakhimov, Christopher Martius, Asia Khamzina

Publikováno v: Irrigation and Drainage Systems. 21:219-236

Groundwater (GW) management is an essential element in irrigated agriculture. This paper analyzes the temporal dynamics of GW table and salinity in Khorezm, a region of Uzbekistan which is situated on the lower Amu Darya River in the Aral Sea Basin a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69c4ac96c7c1b55bf2e091f025ab158d
https://doi.org/10.1007/s10795-007-9033-3

Zobrazit plný text záznamu

Spatial distribution of cotton yield and its relationship to environmental, irrigation infrastructure and water management factors on a regional scale in Khorezm, Uzbekistan

Autor: Nazirbay Ibragimov, Gerd Ruecker, John P. A. Lamers, Kirsten Kienzler, Christopher Martius, Mirzahayot Ibrakhimov, Christopher Conrad

Publikováno v: Cotton, Water, Salts and Soums ISBN: 9789400719620

The spatial distribution of cotton yields in the Khorezm region exhibits larger differences than those indicated in statistics on a district scale. However, the yield distribution within districts and farms, and possible factors correlating with this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d84ab5dff35717a9681dd9777a73f49
https://elib.dlr.de/71339/

Zobrazit plný text záznamu

Feature extraction and machine learning for the classification of active cropland in the Aral Sea Basin

Autor: Fabian Löw, Mirzahayot Ibrakhimov, Sarah-Schonbrodt-Stitt, Christopher Conrad, Dimo Dimov

Publikováno v: IGARSS

Agricultural monitoring over large areas such as the irrigation zones of the Aral Sea Basin (ASB) needs Remote Sensing imagery with a high temporal resolution and a large swath width. Satellite sensors such as MODIS or the upcoming Sentinel-3 suits t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e651dd634d6e97a7f6c94d2f7d3b415
https://elib.dlr.de/115961/

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání