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Geographic and Climatic Attributions of Autumn Land Surface Phenology Spatial Patterns in the Temperate Deciduous Broadleaf Forest of China

Lang, Chen, Liang, Ren, Qian
2019 Remote Sensing  
Then, we validated EOS with the ground-observed leaf fall date (LF) of dominant tree species at 27 sites and selected the best vegetation index.  ...  ) area of China.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2019, 11, 1546  ... 
doi:10.3390/rs11131546 fatcat:xljpjkkazraynhsrkg4fj47lhu

Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment

Wei Zhao, Jinhu Bian
2019 Mountain Research and Development  
gradients and vegetation backgrounds, evaluating their spatio-temporal representativeness, and analyzing the influence of complex terrain on remote sensing signals and remote sensing products; it expects  ...  sensing products in mountain areas; and (5) integrated applications of remote sensing information for mountain studies.  ...  AUTHORS Conceptual design of the Wanglang integrated observation and experimental station, which incorporates integrated space-, air-, and field-based remote-sensing observation.  ... 
doi:10.1659/mrd-journal-d-19-00029.1 fatcat:ei3jeplrhnee7ebzbctzj4jv5e

Wireless Sensor Network of Typical Land Surface Parameters and Its Preliminary Applications for Coarse-Resolution Remote Sensing Pixel

Baocheng Dou, Jianguang Wen, Xiuhong Li, Qiang Liu, Jingjing Peng, Qing Xiao, Zhigang Zhang, Yong Tang, Xiaodan Wu, Xingwen Lin, Dongqin You, Hua Li (+4 others)
2016 International Journal of Distributed Sensor Networks  
, and fraction of vegetation cover (FVC), clumping index (CI), and leaf area index (LAI) from VegeNet, have been obtained and shared on the web.  ...  The preliminary applications, which validate several remote sensing products with CPP-WSN data, demonstrate that a high quality ground "truth" dataset has been available for remote sensing as well as other  ...  These works have evaluated the accuracy of remote sensing products under abundant land covers in long time series but mainly use single-point observation for remote sensing pixel validation.  ... 
doi:10.1155/2016/9639021 fatcat:jcn7zwavvnghvemlnaibhhueza

Improved Modeling of Gross Primary Productivity of Alpine Grasslands on the Tibetan Plateau Using the Biome-BGC Model

Yongfa You, Siyuan Wang, Yuanxu Ma, Xiaoyue Wang, Weihua Liu
2019 Remote Sensing  
of its application in alpine grassland ecosystems, which is important for detecting trends in vegetation productivity.  ...  The development of remote sensing technology and the eddy covariance (EC) technique has made it possible to overcome this dilemma.  ...  The authors are very grateful for Yaoming Ma, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, for his help in acquiring the EC data.  ... 
doi:10.3390/rs11111287 fatcat:q7c7qanc3rduhkpvf26ho6tp2i

A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China

Zhenlong Cheng, Dengsheng Lu, Guiying Li, Jianqin Huang, Nibedita Sinha, Junjun Zhi, Shaojin Li
2018 Remote Sensing  
It is necessary to rapidly predict the spatial distribution of such erosion risks in a large area, but there is a lack of approaches that are suitable for mountainous regions.  ...  It used the random forest approach to identify eight key variables—slope, slope of slope, normalized difference greenness index at leaf-on season, soil organic matter, fractional vegetation at leaf-on  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10121899 fatcat:qbm5uve2u5dujiapwvvkvqyo2y

Modeling leaf area index in North America using a process-based terrestrial ecosystem model

Yang Qu, Qianlai Zhuang
2018 Ecosphere  
Leaf area index (LAI) is often used to quantify plant production and evapotranspiration with terrestrial ecosystem models (TEMs).  ...  Simulated LAI was compared well with the observed data at sites of Harvard Forest (R 2 = 0.96), University of Michigan Biological Station (R 2 = 0.87), Howland Forest (R 2 = 0.96), Morgan Monroe State  ...  We acknowledge the computing support from the Rosen Center for Advanced Computing at Purdue.  ... 
doi:10.1002/ecs2.2046 fatcat:pujd7opa45frbp44y2qix7yova

Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index

Cong Wang, Jing Li, Qinhuo Liu, Bo Zhong, Shanlong Wu, Chuanfu Xia
2017 Sensors  
Since the enhanced vegetation index (EVI) and the leaf area index (LAI) are the most widely used vegetation parameters for remote-sensing phenology extraction, this paper aims to assess the differences  ...  The two phenology products were compared in China for different vegetation types and evaluated using ground observations.  ...  J.L. and Q.L. conceived the research, provided the theoretical guidance for the subject study and reviewed and edited this paper. B.Z. and S.W. collected and preprocessed the remote sensing data.  ... 
doi:10.3390/s17091982 pmid:28867773 pmcid:PMC5620962 fatcat:jiuguf6c5jab5cfjlegqb4l4bi


B. Sun, J. Qian, X. Chen, Q. Zhou
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Compared with annual statistics of agricultural product yield, remote sensing drought index better reflects the long-term change of agricultural drought in Kazakhstan.  ...  In this study, the most common remote sensing drought indices in current running systems of drought monitoring are compared and evaluated.  ...  Compared with traditional ground observations by meteorological stations, remote sensing provides an efficient tool for monitoring drought in a wide range.  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-899-2020 fatcat:zhpbb4begfccve6igbnj6owge4

A Method for Prediction of Winter Wheat Maturity Date Based on MODIS Time Series and Accumulated Temperature

Fa Zhao, Guijun Yang, Hao Yang, Huiling Long, Weimeng Xu, Yaohui Zhu, Yang Meng, Shaoyu Han, Miao Liu
2022 Agriculture  
The existing research on phenology based on remote sensing data is mainly phenology monitoring, which cannot realize the prediction of phenology.  ...  The method was used to predict the MD of winter wheat in Hebei in 2018 and was validated with data from the phenology station and the Modis Land Cover Dynamics (MCD12Q2) product.  ...  Acknowledgments: We would like to thank our collaborators from the Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs, National Engineering Research  ... 
doi:10.3390/agriculture12070945 fatcat:xg5q4nxv3rd7xbzfhrpd3hoyli

Relationship between AWiFS derived Spectral Vegetation Indices with Simulated Wheat Yield Attributes in Sirsa district of Haryana

A. Biswal, B. Sahay, K. V. Ramana, S. V. C. K. Rao, M. V. R. Sesha Sai
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Satellite remote sensing can provide information on plant status for large regions with high temporal resolution and proved as a potential tool for decision support.  ...  This work is a basic investigation towards assimilation of remote sensing derived state variables in to the crop growth model.  ...  Important model state variables such as above-ground biomass, leaf area index and specific canopy characteristics such as chlorophyll or nitrogen content can be estimated from remote sensing observations  ... 
doi:10.5194/isprsarchives-xl-8-689-2014 fatcat:nycvzftvdncg7d4bpnmce43i6a

Mathematical Integration of Remotely-Sensed Information into a Crop Modelling Process for Mapping Crop Productivity

Van Cuong Nguyen, Seungtaek Jeong, Jonghan Ko, Chi Tim Ng, Jongmin Yeom
2019 Remote Sensing  
Moreover, the relationship between the reflectance and the leaf area index was incorporated into the statistical model.  ...  In this study, we formulated a hybrid system of remote sensing and crop modelling based on a random-effect model and the empirical Bayesian approach for parameter estimation.  ...  Acknowledgments: We thank the Korea Institute of Ocean Science and Technology (KIOST) for providing the GOCI data.  ... 
doi:10.3390/rs11182131 fatcat:22ou5cxfzvh3fiztmoowqxrlcq

Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data

Jingui Wang, Dongjuan Cheng, Lihui Wu, Xueyuan Yu, Lianhui Li
2022 Scientific Programming  
of related methods/products from three perspectives: empirical regression, machine learning, and data fusion; and finally indicates the development direction of data-driven ET remote-sensing inversion  ...  This paper presents a comprehensive and systematic review of the research progress of data-driven ET remote-sensing inversion methods and their products; reviews the basic principles, advantages, and disadvantages  ...  Remote sensing, due to its macroscopic nature and large observation range, can overcome the spatial scale scaling problem involved in station-based observations, and a series of remote-sensing-based ET  ... 
doi:10.1155/2022/2076633 fatcat:yhruiseprrdufmxrrbmrwin2oi

Validation of four coarse-resolution leaf area index products over croplands in China using field measurements

Bowen Song, Liangyun Liu, Jingjing Zhao, Xidong Chen, Yuan Gao, Helin Zhang, Xiao Zhang
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The accuracy assessment of the global leaf area index 2 (LAI) products is an indispensable step before applications.  ...  The seasonal variation of these products was 18 assessed with continuous in-situ measurements at Daman Station, 19 Gansu province.  ...  , while underestimation at coarse-resolution 26 in other validation sties.27 28Index Terms-Validation; Leaf Area Index (LAI); Cropland; index (LAI), defined as one half the total green leaf 32 1 Fig.  ... 
doi:10.1109/jstars.2021.3108172 fatcat:32svsminpzhh5hpdwsyjkrsz2i

New Scheme for Validating Remote-Sensing Land Surface Temperature Products with Station Observations

Wenping Yu, Mingguo Ma, Zhaoliang Li, Junlei Tan, Adan Wu
2017 Remote Sensing  
Continuous land-surface temperature (LST) observations from ground-based stations are an important reference dataset for validating remote-sensing LST products.  ...  In this study, a new practical validation scheme is presented for validating remote-sensing LST products that includes a key step: assessing the spatial representativeness of ground-based LST measurements  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs9121210 fatcat:gkkylfnsxregjn2l72o76wquf4

Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability

Mauro Ezequiel Holzman, Raúl Eduardo Rivas, Martín Ignacio Bayala
2021 Remote Sensing  
Water availability for vegetation use has been associated with the relative amount of water in the plant and is a key factor for modeling variables related to the soil-plant system (e.g., net primary production  ...  Given the reliance of the index on just satellite data, it can be pointed that the potential not only for vegetation water stress analyses but also in the context of hydrological modeling as an input of  ...  Also, we really appreciate the contribution of the reviewers that have helped us to improve the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13173371 doaj:72732a08207b4065b3a8c716d7648b7e fatcat:cs2egy4wdzhfrn2jwqbvhk3utq
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