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Journal ArticleDOI

The use of MODIS data to derive acreage estimations for larger fields : A case study in the south-western Rostov region of Russia

TLDR
This paper presents a methodology to estimate crop acreage using the MODIS 16-day composite NDVI product, and a novel method based on a pure pixel field sampling is introduced which was found to be superior.
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This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2008-12-01. It has received 42 citations till now.

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Citations
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Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil

TL;DR: In this article, two successive classifications based on MODIS MODerate Resolution Imaging Spectroradiometer-TERRA/EVI Enhanced Vegetation Index time series are applied 1 to map agricultural areas and 2 to identify five crop classes.
Journal ArticleDOI

Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data

TL;DR: The proposed field-based crop classification method can be an important tool for use in water demand estimations, crop yield simulations, or economic models in agricultural systems similar to Khorezm.
Journal ArticleDOI

Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information

TL;DR: In this paper, the fine spatial resolution China’s Environment Satellite (HJ-1 satellite) images and the support vector machine (SVM) algorithm were employed to discriminate distribution of maize in the reference area.
Journal ArticleDOI

Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis

TL;DR: In this paper, optical hyper-temporal Satellite Pour l'Observation de la Terre (SPOT VEGETATION SPOT VGT) data was used to describe and map variability in irrigated rice cropping patterns of the Mekong delta.
Journal ArticleDOI

Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

TL;DR: In this paper, an evaluation of the optimum number of acquisition dates and most suitable temporal windows for the discrimination of crops over heterogeneous agricultural landscapes utilizing multitemporal data from the RapidEye satellite constellation is presented.
References
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Journal ArticleDOI

A review of assessing the accuracy of classifications of remotely sensed data

TL;DR: This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data including the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques.

Multiresolution Segmentation-an optimization approach for high quality multi-scale image segmentation

M. Baatz
TL;DR: In this paper, a general segmentation algorithm based on homogeneity definitions in combination with local and global optimization techniques is proposed for object oriented image processing, which aims for an universal high-quality solution applicable and adaptable to many problems and data types.
Journal ArticleDOI

A continental phenology model for monitoring vegetation responses to interannual climatic variability

TL;DR: In this article, the authors developed predictive phenology models based on traditional phenology research using commonly available meteorological and climatological data and compared with satellite phenology observations at numerous 20 km x 20 km contiguous landcover sites.

Remote sensing: The quantitative approach

TL;DR: In this paper, the authors describe the traitement de donnees reference record created on 2005-06-20, modified on 2016-08-08 and used for remote sensing.
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