Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)

A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

(2016) Linglin Zeng et al.   REMOTE SENSING OF ENVIRONMENT

Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data

(2015) Zhuokun Pan et al.   International Journal of Applied Earth Observation and Geoinformation

Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images

(2015) Jing Wang et al.   Journal of Zhejiang University-SCIENCE B

Validation of the MODIS NDVI Products in Different Land-Use Types Using In Situ Measurements in the Heihe River Basin

(2014) Liying Geng et al.   IEEE Geoscience and Remote Sensing Letters

Dynamic variability of the heading–flowering stages of single rice in China based on field observations and NDVI estimations

(2014) Zhao Zhang et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

The application of time-series MODIS NDVI profiles for the acquisition of crop information across Afghanistan

(2014) Daniel M. Simms et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

From Remotely Sensed Vegetation Onset to Sowing Dates: Aggregating Pixel-Level Detections into Village-Level Sowing Probabilities

(2014) Eduardo Marinho et al.   Remote Sensing

Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring

(2014) Hao Yang et al.   Remote Sensing

Extracting Regional Pattern of Wheat Sowing Dates Using Multispectral and High Temporal Observations from Indian Geostationary Satellite

(2013) Swapnil Vyas et al.   Journal of the Indian Society of Remote Sensing

Satellite detection of earlier wheat sowing in India and implications for yield trends

(2012) David B. Lobell et al.   AGRICULTURAL SYSTEMS

Spatio-temporal patterns of phenological development in Germany in relation to temperature and day length

(2011) S. Siebert et al.   AGRICULTURAL AND FOREST METEOROLOGY

A Changing-Weight Filter Method for Reconstructing a High-Quality NDVI Time Series to Preserve the Integrity of Vegetation Phenology

(2011) Wenquan Zhu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deriving Crop Phenology Metrics and Their Trends Using Times Series NOAA-AVHRR NDVI Data

(2011) Vinay Kumar Sehgal et al.   Journal of the Indian Society of Remote Sensing

A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data

(2010) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Global Croplands and their Importance for Water and Food Security in the Twenty-first Century: Towards an Ever Green Revolution that Combines a Second Green Revolution with a Blue Revolution

(2010) Prasad S. Thenkabail   Remote Sensing