Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery

By Liheng Zhong, Peng Gong, G. Biging. 2014

347 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/7443e103096c491a99393170628c052325e0f1a1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ç. Biradar
2. B. Moore
3. M. Menarguez
4. Geli Zhang
5. Yuanwei Qin
6. Xiangming Xiao
7. Jinwei Dong

Citations in the corpus

• Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine (2016, methodology): “For example, Zhong et al. (2014) applied phenological metrics (e.g., starting date and ending date) to map soybean and corn; Dong et al. (2013a) identified deciduous rubber plantations by integrating the phenology information from time series Landsat images and the tree structure information from…”
• Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery (2015, neutral): “Even recent literature uses limited nomenclatures [31].”