Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing
出版年份 2021 全文链接
标题
Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing
作者
关键词
Brazil, Machine learning algorithms, Linear regression analysis, Algorithms, Rain, Weather stations, Machine learning, Snow
出版物
PLoS One
Volume 16, Issue 2, Pages e0245834
出版商
Public Library of Science (PLoS)
发表日期
2021-02-10
DOI
10.1371/journal.pone.0245834
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning
- (2020) Lucas Borges Ferreira et al. AGRICULTURAL WATER MANAGEMENT
- Prediction of copper content in waste dump of Sarcheshmeh copper mine using visible and near-infrared reflectance spectroscopy
- (2020) Vahid Khosravi et al. Environmental Earth Sciences
- Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach
- (2019) Lucas Borges Ferreira et al. JOURNAL OF HYDROLOGY
- A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
- (2018) Rasmus Houborg et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China
- (2018) Yang Liu et al. Journal of Mountain Science
- Heuristic methods applied in reference evapotranspiration modeling
- (2018) Daniel Althoff et al. CIENCIA E AGROTECNOLOGIA
- WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas
- (2017) Stephen E. Fick et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Overview of Water Policy Developments: Pre- and Post-2015 Development Agenda
- (2017) Nilgun B. Harmancioglu WATER RESOURCES MANAGEMENT
- A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring
- (2017) et al. Remote Sensing
- Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data
- (2017) Phan Noi et al. Remote Sensing
- Evaluation of reference evapotranspiration models and determination of crop coefficient for Momordica charantia and Capsicum annuum
- (2016) Josilva M. Muniandy et al. AGRICULTURAL WATER MANAGEMENT
- Trends in reference evapotranspiration and its attribution over the past 50 years in the Loess Plateau, China: implications for ecological projects and agricultural production
- (2016) Zhongjie Shi et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches
- (2016) Yinghai Ke et al. Remote Sensing
- Multi-decadal trends in global terrestrial evapotranspiration and its components
- (2016) Yongqiang Zhang et al. Scientific Reports
- Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data
- (2015) Ronglin Tang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
- (2015) Shafika Sultan Abdullah et al. JOURNAL OF HYDROLOGY
- Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates
- (2015) R.S. Westerhoff REMOTE SENSING OF ENVIRONMENT
- Dynamics of MODIS evapotranspiration in South Africa
- (2015) N Jovanovic et al. WATER SA
- Köppen's climate classification map for Brazil
- (2014) Clayton Alcarde Alvares et al. METEOROLOGISCHE ZEITSCHRIFT
- Landsat-8: Science and product vision for terrestrial global change research
- (2014) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- An integrated economic model of multiple types and uses of water
- (2014) Jonas Luckmann et al. WATER RESOURCES RESEARCH
- Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa
- (2014) Abel Ramoelo et al. Remote Sensing
- Uso de imagens MODIS no monitoramento do fluxo de sedimentos no reservatório de Três Marias
- (2014) Carlos E. T. Pinto et al. Revista Brasileira de Engenharia Agrícola e Ambiental
- Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data
- (2013) Ronglin Tang et al. AGRICULTURAL AND FOREST METEOROLOGY
- What controls the error structure in evapotranspiration models?
- (2012) Aaron Polhamus et al. AGRICULTURAL AND FOREST METEOROLOGY
- Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia
- (2012) Hyun Woo Kim et al. KSCE Journal of Civil Engineering
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- (2012) M. Drusch et al. REMOTE SENSING OF ENVIRONMENT
- Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations
- (2011) Tong Zhang IEEE TRANSACTIONS ON INFORMATION THEORY
- Improvements to a MODIS global terrestrial evapotranspiration algorithm
- (2011) Qiaozhen Mu et al. REMOTE SENSING OF ENVIRONMENT
- Long-Term Regional Estimates of Evapotranspiration for Mexico Based on Downscaled ISCCP Data
- (2009) Justin Sheffield et al. JOURNAL OF HYDROMETEOROLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now