User profiles for Esra Erten

esra erten

Istanbul Technical University
Verified email at itu.edu.tr
Cited by 1461

[PDF][PDF] Forest fire risk zone mapping from satellite imagery and GIS: a case study

E Erten, V Kurgun, N Musaoglu - … Congress of the International Society for …, 2004 - isprs.org
Forest fires are one of the major natural risk in the Mediterranean countries. In such areas,
fires occur frequently and there is a need for supranational approaches that analyse wide …

Retrieval of agricultural crop height from space: A comparison of SAR techniques

E Erten, JM Lopez-Sanchez, O Yuzugullu… - Remote Sensing of …, 2016 - Elsevier
This paper deals with the retrieval of agricultural crop height from space by using
multipolarization Synthetic Aperture Radar (SAR) images. Coherent and incoherent crop height …

Paddy-rice monitoring using TanDEM-X

C Rossi, E Erten - IEEE Transactions on Geoscience and …, 2014 - ieeexplore.ieee.org
This paper evaluates the potential of spaceborne bistatic interferometric synthetic aperture
radar images for the monitoring of biophysical variables in wetlands, with a special interest on …

Estimation of rice crop height from X-and C-band PolSAR by metamodel-based optimization

O Yuzugullu, E Erten, I Hajnsek - IEEE Journal of Selected …, 2016 - ieeexplore.ieee.org
Rice crops are important in global food economy and are monitored by precise agricultural
methods, in which crop morphology in high spatial resolution becomes the point of interest. …

Paddy-rice phenology classification based on machine-learning methods using multitemporal co-polar X-band SAR images

Ç Küçük, G Taşkın, E Erten - IEEE Journal of selected topics in …, 2016 - ieeexplore.ieee.org
Crop monitoring and phenology estimation based on the satellite systems have become an
important research area due to high demand on crops. Satellites with synthetic aperture …

Soil moisture prediction from remote sensing images coupled with climate, soil texture and topography via deep learning

MF Celik, MS Isik, O Yuzugullu, N Fajraoui, E Erten - Remote sensing, 2022 - mdpi.com
Soil moisture (SM) is an important biophysical parameter by which to evaluate water resource
potential, especially for agricultural activities under the pressure of global warming. The …

Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data

JM Lopez-Sanchez, F Vicente-Guijalba, E Erten… - Remote Sensing of …, 2017 - Elsevier
This work presents for the first time a demonstration with satellite data of polarimetric SAR
interferometry (PolInSAR) applied to the retrieval of vegetation height in rice fields. Three …

Glacier velocity monitoring by maximum likelihood texture tracking

E Erten, A Reigber, O Hellwich… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The performance of a tracking algorithm considering remotely sensed data strongly depends
on a correct statistical description of the data, ie, its noise model. The objective of this paper …

Rice growth monitoring by means of X-band co-polar SAR: Feature clustering and BBCH scale

O Yuzugullu, E Erten, I Hajnsek - IEEE Geoscience and Remote …, 2015 - ieeexplore.ieee.org
Precision agriculture research, which aims to monitor agricultural fields and to manage
agricultural practice by considering overall environmental impacts, has gained momentum with …

Determining rice growth stage with X-band SAR: A metamodel based inversion

O Yuzugullu, S Marelli, E Erten, B Sudret, I Hajnsek - Remote Sensing, 2017 - mdpi.com
Rice crops are important in the global food economy, and new techniques are being
implemented for their effective management. These techniques rely mainly on the changes in the …