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Chunhua Zhang

Researcher at Algoma University

Publications -  40
Citations -  2943

Chunhua Zhang is an academic researcher from Algoma University. The author has contributed to research in topics: Vegetation & Karst. The author has an hindex of 20, co-authored 36 publications receiving 2221 citations. Previous affiliations of Chunhua Zhang include East Tennessee State University & University of Saskatchewan.

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

TL;DR: To provide a reliable end product to farmers, advances in platform design, production, standardization of image georeferencing and mosaicing, and information extraction workflow are required and the farmer should involve in the process of field design, image acquisition, image interpretation and analysis.
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Karst landscapes of China: patterns, ecosystem processes and services

TL;DR: Wang et al. as discussed by the authors summarized landscape studies of karst landscapes patterns, their dynamics and interactions among landscape pattern, hydrological processes and ecosystem services (ES), and conducted a systematic literature review to identify knowledge gaps and recommend future research and policy directions.
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Impacts of climate change and human activities on vegetation cover in hilly southern China

TL;DR: In this article, the authors investigated the spatiotemporal variations in vegetation cover using a Normal Difference Vegetation Index (NDVI) time-series data set obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) and climate data from 2000 to 2010.
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Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China

TL;DR: A remote sensing based approach to evaluate the long-term efforts of the ERPs started in 2000 was proposed, and counties with high project effectiveness in spite of complex natural conditions were identified, while counties with negative vegetation trends despite relatively favorable conditions and high investments were also distinguished.
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Effectiveness of ecological restoration projects in a karst region of southwest China assessed using vegetation succession mapping

TL;DR: Wang et al. as discussed by the authors used three Landsat Thematic Mapper images from 1990, 2004, and 2011 to examine whether various image pre-processing methods (vegetation indices, topographic correction, and minimum noise fraction [MNF] transformation) and a digital elevation model improved image classification.