From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Potential of Remote Sensing Derived Soil Moisture for the Estimation of Actual Evapotranspiration in Cotton Ecosytems in Middle Asia

P. Knöfel, C. Conrad, и S. Dech. Satellite Soil Moisture Validation and Application Workshop, стр. 1. (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Erna Knöfel

Jürgen Knöfel

Dietbert Knöfel

Horst Knöfel

Werner Knöfel

Другие публикации лиц с тем же именем

Validation of an improved energy balance model to estimate actual evapotranspiration in irrigated cotton ecosystems of Central AsiaP. Knöfel, C. Conrad, U. Falk, и B. Bauer-Marschallinger. (2014)Evaluation of a Modified SEBAL Algorithm to Estimate Actual Evapotranspiration in Cotton Ecosystems of Central Asia using Microwave and Optical Remote Sensing DataP. Knöfel, и C. Conrad. (12.-17. 04 2015)Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data.P. Knöfel, T. Dahms, E. Borg, и C. Conrad. GIL Jahrestagung, том P-268 из LNI, стр. 77-80. GI, (2017)Analysis of uncertainty in multi-temporal object-based classificationF. Löw, P. Knöfel, и C. Conrad. ISPRS - Journal of Photogrammetry and Remote Sensing, (2015)Remote Sensing and GIS for Supporting the Agricultural Use of Land and Water Resources in the Aral Sea BasinC. Conrad, S. Schönbrodt-Stitt, I. Abdullaev, D. Dimo, M. Ibrakhimov, P. Knöfel, M. Leinich, L. Morper-Busch, G. Schorcht, G. Solodoky и 7 other автор(ы). Water Resources of Central Asia and their Use - Materials to the International Scientific-Practical Conference devoted to the summing-up of the "Water for Life" decade declared by the United Nations, Almaty, Kazakhstan, (22. -24. 09 2016)Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von LandnutzungsklassifikationenP. Knöfel, H. Gerstmann, X. Xu, и C. Conrad. (29.-30. 04 2015)Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von LandnutzungsklassifikationenP. Knöfel, D. Spengler, и C. Conrad. (27. - 28. 09 2016)Spatio-temporal supply–demand of surface water for agroforestry planning in saline landscape of the lower Amudarya BasinN. Kumar, A. Khamzina, B. Tischbein, P. Knöfel, C. Conrad, и J. Lamers. Journal of Arid Environments, (2019)Introduction of a modified soil heat flux approach and its potential for improving remote sensing based surface energy balanceP. Knöfel, и C. Conrad. (15.-17. 09 2015)Introduction of the German Landscape Change Detection Service.P. Knöfel, и M. Hovenbitzer. IGARSS, стр. 806-809. IEEE, (2018)

BibSonomy

Disambiguation