Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possibilities for estimating crop acreage over larger areas. Crop acreage statistical data are sometimes biased and in complete. Remotely sensed data allow, in some cases, the estimation of crop acreage independently of national and subnational survey statistics. This work focuses on the use of MODIS data acquired in 2004¿2008 concerning the Kalmykia republic in Russia. The paper presents a methodology to estimate crop acreage using the MODIS 10_day composite NDVI product. The rice fields are recognized using correlation analysis between the NDVI profiles of the current season with the profiles for the previous seasons. We attempted to distinguish, based on MODIS data, blocks of rice fields for the 2004¿2008 rice growing seasons, and achieved satisfactory results. Field recognition can be done at the beginning of the crop growing season.
SAVIN Igor;
BARUTH Bettina;
2010-03-09
Akademizdattsentr Nauka
JRC54639
0205-9614,
https://publications.jrc.ec.europa.eu/repository/handle/JRC54639,
| Name | Country | City | Type |
|---|
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Datasets
| ID | Title | Public URL |
|---|
Dataset collections
| ID | Acronym | Title | Public URL |
|---|
Scripts / source codes
| Description | Public URL |
|---|
Additional supporting files
| File name | Description | File type |
|---|