Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping-Reference-Cited by-同舟云学术

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Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping

Published:2017-03-04 Issue:3 Volume:9 Page:239
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Wu Mingquan,Yang Chenghai,Song Xiaoyu,Hoffmann Wesley,Huang Wenjiang,Niu Zheng,Wang Changyao,Li Wang

Funder

China Scholarship Council

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/3/239/pdf

Reference35 articles.

1. An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing

2. The photogrammetric potential of low-cost UAVs in forestry and agriculture;Grenzdörffer;Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.,2008

3. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

4. The application of small unmanned aerial systems for precision agriculture: a review

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1. Machine learning-based maize (Zea mays L.) extraction at parcel level using Sentinel 2A-derived spectral indices;Journal of Applied Remote Sensing;2024-08-23

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3. Identification lodging degree of wheat using point cloud data and convolutional neural network;Frontiers in Plant Science;2022-09-27

4. The Evaluation of Spectral Vegetation Indexes and Redundancy Reduction on the Accuracy of Crop Type Detection;Applied Sciences;2022-05-17

5. Remote Sensing Technologies for Crop Disease and Pest Detection;Agriculture Automation and Control;2022

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