Journal ArticleDOI
A Comparative Analysis of Phenological Curves for Major Crops in Kansas
TLDR
In this paper, the authors investigated whether a time-series NDVI reference curve library for crops over a growing season for one year could be used to map crops for a different year.Abstract:
The goal of this research was to conduct an initial investigation into whether a time-series NDVI reference curve library for crops over a growing season for one year could be used to map crops for a different year. Time-series NDVI libraries of curves for 2001 and 2005 were investigated to ascertain whether or not the 2001 dataset could be used to map crops for 2005. The 2005 16-day composite MODIS 250 m NDVI data were used to extract NDVI values from 1,615 field sites representing alfalfa, corn, sorghum, soybeans, and winter wheat. A k-means cluster analysis of NDVI values from the field sites was performed to identify validation sites with time-series NDVI spectral profiles characteristic of the major crop types grown in Kansas. After completing the field site refinement process, there were 1,254 field sites retained for further analysis, referred to as "final" field sites. The methods employed to evaluate whether the MODIS-based NDVI profiles for major crops in Kansas are stable from year-to-year invo...read more
Citations
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Journal ArticleDOI
Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA
TL;DR: MODIS time series data is used to investigate the effect of the time series length on crop mapping and shows that relatively short time series have the potential to identify crops accurately, which allows for early crop mapping over large areas.
Journal ArticleDOI
Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile
M.A. Peña,Alexander Brenning +1 more
TL;DR: In this article, the authors compared four feature sets from a time series comprised of eight cloud-free Landsat-8 images: the full-band SITS, the NDVI and NDWI (normalized difference water index) temporal profiles, and an image stack with all the feature sets combined.
Journal ArticleDOI
Estimating crop net primary production using national inventory data and MODIS-derived parameters
TL;DR: In this paper, an agricultural inventory-based light use efficiency (AgI-LUE) framework was developed to estimate individual crop biophysical parameters for use in estimating crop-specific NPP over large multi-state regions.
Journal ArticleDOI
Using spectrotemporal indices to improve the fruit-tree crop classification accuracy
TL;DR: In this article, the potential of spectrotemporal indices derived from satellite image time series (SITS) to improve the classification accuracy of fruit-tree crops was assessed. But the results were limited to the first two image dates of the time series, corresponding to the crops' greenup stage.
Journal ArticleDOI
High resolution crop intensity mapping using harmonized Landsat-8 and Sentinel-2 data
TL;DR: In this article, the authors used harmonized Landsat Sentinel-2 (HLS) data to identify crop intensity, and the proposed methods were tested in four study regions, with results showing that 15-day time series generated from the fitted curves could accurately identify cropland extent.
References
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Journal ArticleDOI
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
Book
Cluster analysis for researchers
TL;DR: Cluster Analysis for Researchers does not guarantee a high level of accuracy, but it can be helpful to have a basic understanding of how cluster analysis works.
Journal ArticleDOI
Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains
TL;DR: In this article, a combination of graphical and statistical analyses were performed on a 12-month time-series of MODIS EVI and NDVI data from more than 2000 cropped field sites across the U.S. state of Kansas.
Journal Article
Land-use and land-cover change. Science/research plan
Journal ArticleDOI
Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images
Xiangming Xiao,Stephen Boles,Steve Frolking,Changsheng Li,Jagadeesh Y. Babu,Jagadeesh Y. Babu,William Salas,Berrien Moore +7 more
TL;DR: In this article, the authors developed a new geospatial database of paddy rice agriculture for 13 countries in South and Southeast Asia using 8-day composite images (500m spatial resolution) in 2002 from the MODIS sensor onboard the NASA EOS Terra satellite.