and Applied Analysis 3 The day of MODIS13A2NDVI (GeoTIFF) MODIS13A2QC (GeoTIFF) Binary image files View binary images Run TIMESAT software on calibrated data to define settings Create settings file Run TIMESAT on study area Timeset binary output files Preprocess (composite, calibration, projection, etc.) MODIS13A2 (HDF) A new NDVI time series Format conversion A curvature time series of NDVI da...

Users of the TIMESAT program are welcome to contact the authors in order to receive the most updated version of the program. The authors are also happy to answer questions on optimal parameter settings.

Near surface (i.e., camera) and satellite remote sensing metrics have become widely used indicators of plant growing seasons. While robust linkages have been established between field metrics and ecosystem exchange in many land cover types, assessment of how well remotely-derived season start and end dates depict field conditions in arid ecosystems remain unknown. We evaluated the correspondenc...

Time series Normalized Difference Vegetation Index (NDVI) has been shown to provide useful data that can be applied to study vegetable phenologies and crop calendars, and much research has been conducted with it in the main agricultural regions of China. However, few studies using NDVI have been conducted in the Qinghai-Tibet Plateau where agriculture is often limited in the valley and piedmont...

Time series vegetable indexes (Vis) have been evidenced a useful data to extract vegetable phenology and identify crop types. This paper conducted such a research in Qinghai Province by using Landsat TM images, via four steps, i) sampling single-crop plots and extracting crop spectrums based on pure signle-crop pixels; ii) building time-series vegetable indexes by using Landsat 8 TM images (201...

Spatial and temporal variations in canopy structure and leaf biochemistry have considerable influence on fluxes of CO2, water and energy and nutrient cycling in vegetation. Two vegetation indices (VI), NDVI and Macc01, were used to model the spatio-temporal variability of broadleaf chlorophyll content and leaf area index (LAI) across a growing season. Ground data including LAI, hyperspectral le...

This paper presents a novel approach to classify agricultural crops using NDVI time series. The novelty lies in i) extracting a set of features from the each and every NDVI curve, and ii) using them to train a crop classification model using a Support Vector Machine (SVM). Specifically, we use the TIMESAT program package to: 1) smooth the time series, 2) decompose them into agricultural seasons...

Accurate regional and global information on land cover and its changes over time is crucial for environmental monitoring, land management, and planning. In this study, we selected Fengning County, in China’s Hebei Province, as a case study area. Using satellite data, we generated fused normalized-difference vegetation index (NDVI) data with high spatial and temporal resolution by utilizing the ...