2009•Unpublished venueRequires access

A comparison of vegetation indices for corn and soybean vegetation condition monitoring

Zhengwei Yang, Hu Zhao, Liping Di, Genong Yu

Open publisher page 14 citations

Abstract

The continuous crop condition monitoring with a full geospatial coverage and sufficient granularity throughout the season is critical to decision making in agricultural policy, production, and food prices. The USDA NASS currently uses bi-weekly 1km AVHRR NDVI composited data to monitor the US crop condition in the growing season. To improve both temporal and spatial resolution, 250m daily MODIS surface reflectance data is used and invalid, cloud pixels are reconstructed. Moreover, to compensate the sensitivity to low vegetation area and saturation at the high vegetation of NDVI, this paper proposes a new vegetation index based on NDVI and simple ratio vegetation index as an alternative for crop vegetation condition monitoring. The initial experiments indicate the proposed vegetation index is robust to the low vegetation and sensitive to high vegetation, and has potential to be an alternative to NDVI for crop condition monitoring.

About this research paper

What this paper is about

The continuous crop condition monitoring with a full geospatial coverage and sufficient granularity throughout the season is critical to decision making in agricultural policy, production, and food prices. The USDA NASS currently uses bi-weekly 1km AVHRR NDVI composited data to monitor the US crop condition in the growing season. To improve both temporal and spatial resolution, 250m daily MODIS surface reflectance data is used and invalid, cloud pixels are reconstructed. Moreover, to compensate the sensitivity to low vegetation area and saturation at the high vegetation of NDVI, this paper proposes a new vegetation index based on NDVI and simple ratio vegetation index as an alternative for crop vegetation condition monitoring. The initial experiments indicate the proposed vegetation index is robust to the low vegetation and sensitive to high vegetation, and has potential to be an alternative to NDVI for crop condition monitoring.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The continuous crop condition monitoring with a full geospatial coverage and sufficient granularity throughout the season is critical to decision making in agricultural policy, production, and food prices. The USDA NASS currently uses bi-weekly 1km AVHRR NDVI composited data to monitor the US crop condition in the growing season. To improve both temporal and spatial resolution, 250m daily MODIS surface reflectance data is used and invalid, cloud pixels are reconstructed. Moreover, to compensate the sensitivity to low vegetation area and saturation at the high vegetation of NDVI, this paper proposes a new vegetation index based on NDVI and simple ratio vegetation index as an alternative for crop vegetation condition monitoring. The initial experiments indicate the proposed vegetation index is robust to the low vegetation and sensitive to high vegetation, and has potential to be an alternative to NDVI for crop condition monitoring.

Key concepts: Normalized Difference Vegetation Index, Enhanced vegetation index, Vegetation (pathology), Environmental science, Vegetation Index, Remote sensing, Growing season, Condition index

Related papers

Back to paper searchBrowse research topicsOriginal source
A comparison of vegetation indices for corn and soybean vegetation condition monitoring — Research Paper | ScholarLens