Remote Sensing in Agriculture

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the use of remote sensing technology, particularly MODIS and Landsat data, for monitoring vegetation dynamics, phenology, and biomass estimation in response to global change and climate variability. The papers also explore the application of machine learning techniques for land cover classification and the assessment of ecological responses to environmental change.

322

Works

IDs:OpenAlex

How has Remote Sensing in Agriculture's publication output changed over time?

ScholarIQpublication output · 2007–2020

Output grew0% over the shown period — from 1 works in 2007 to 1 in 2020.

2007200820112012201320152017201820192020

What are the most-cited papers on Remote Sensing in Agriculture?

ScholarIQmost cited works

Plant phenology and global climate change: Current progresses and challenges

Shilong Piao, Qiang Liu, Anping Chen, Ivan A. Janssens, Yongshuo H. Fu, Junhu Dai, Lingli Liu, Xu Lian, Miaogen Shen, Xiaolin Zhu

S74970393. 20192,085 CitationsOPEN ACCESS

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

Bing Lu, Phuong D. Dao, Jiangui Liu, Yuhong He, Jiali Shang

S43295729. 20201,177 CitationsOPEN ACCESS

Deep learning based multi-temporal crop classification

Liheng Zhong, Lina Hu, Hang Zhou

S141808269. 20181,012 Citations

Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

Chaoyang Wu, Zheng Niu, Quan Tang, Wenjiang Huang

S17729819. 2008880 Citations

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

Guijun Yang, Jiangang Liu, Chunjiang Zhao, Zhenhong Li, Yanbo Huang, Haiyang Yu, Bo Xu, Xiaodong Yang, Dongmei Zhu, Xiaoyan Zhang, Ruyang Zhang, Haikuan Feng, Xiaoqing Zhao, Zhenhai Li, Heli Li, Hao Yang

Frontiers in Plant Science. 2017754 CitationsOPEN ACCESS