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DEM resolution effects on machine learning performance for flood probability mapping 期刊论文
发表期刊: JOURNAL OF HYDRO-ENVIRONMENT RESEARCH. 出版年: 2022, 卷号: 40
作者:  Avand, Mohammadtaghi;  Kuriqi, Alban;  Khazaei, Majid;  Ghorbanzadeh, Omid
收藏  |  浏览/下载：15/0  |  提交时间：2022/03/17
Heterogeneous data  Flood modelling  Random forest (RF)  Artificial neural network (ANN)  Generalized linear model (GLM)  
Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana 期刊论文
发表期刊: SCIENCE OF THE TOTAL ENVIRONMENT. 出版年: 2022, 卷号: 803
作者:  Akpoti, Komlavi;  Higginbottom, Thomas P.;  Foster, Timothy;  Adhikari, Roshan;  Zwart, Sander J.
收藏  |  浏览/下载：11/0  |  提交时间：2022/02/12
Food security  Small-scale farmers  Farmer led-irrigation  Semi-arid region  Land suitability  Ecological niche modelling  
Monitoring Oasis Cotton Fields Expansion in Arid Zones Using the Google Earth Engine: A Case Study in the Ogan-Kucha River Oasis, Xinjiang, China 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 1
作者:  Han, Lijing;  Ding, Jianli;  Wang, Jinjie;  Zhang, Junyong;  Xie, Boqiang;  Hao, Jianping
收藏  |  浏览/下载：36/0  |  提交时间：2022/03/17
Google Earth Engine  cotton fields  mulch drip irrigation  groundwater level decline  oasis agriculture in arid zones  
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia 期刊论文
发表期刊: GEOCARTO INTERNATIONAL. 出版年: 2021
作者:  Mallick, Javed;  Talukdar, Swapan;  Alsubih, Majed;  Almesfer, Mohammed K.;  Shahfahad;  Hang, Hoang Thi;  Rahman, Atiqur
收藏  |  浏览/下载：12/0  |  提交时间：2021/11/29
Groundwater potential modelling  ensemble machine learning algorithm  statistical models  novel hybrid models  information gain ratio  
Predicting the infiltration characteristics for semi-arid regions using regression trees 期刊论文
发表期刊: WATER SUPPLY. 出版年: 2021
作者:  Sihag, Parveen;  Kumar, Munish;  Sammen, Saad Sh.
收藏  |  浏览/下载：13/0  |  提交时间：2021/07/30
cumulative infiltration  infiltration rate  M5 tree  random forest  random tree  
Temporal distribution modelling reveals upstream habitat drying and downstream non-native introgression are squeezing out an imperiled headwater fish 期刊论文
发表期刊: DIVERSITY AND DISTRIBUTIONS. 出版年: 2021, 卷号: 27, 期号: 3, 页码: 533-551
作者:  Parker, Stephanie D.;  Perkin, Joshuah S.;  Bean, Megan G.;  Lutz-Carrillo, Dijar;  Acre, Matthew R.
收藏  |  浏览/下载：26/0  |  提交时间：2021/03/08
conservation planning  habitat loss  Headwater catfish  Ictalurus lupus  introgression  species distribution models  
Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in Asir region, Saudi Arabia 期刊论文
发表期刊: GEOCARTO INTERNATIONAL. 出版年: 2021
作者:  Mallick, Javed;  Talukdar, Swapan;  Alsubih, Majed;  Ahmed, Mohd.;  Islam, Abu Reza Md Towfiqul;  Shahfahad;  Thanh, Nguyen Viet
收藏  |  浏览/下载：2/0  |  提交时间：2021/07/30
ROC-based sensitivity  particle swarm optimization  Artificial intelligence  groundwater  Asir region  
Prediction of desert locust breeding areas using machine learning methods and SMOS (MIR_SMNRT2) Near Real Time product 期刊论文
发表期刊: JOURNAL OF ARID ENVIRONMENTS. 出版年: 2021, 卷号: 194
作者:  Gomez, Diego;  Salvador, Pablo;  Sanz, Julia;  Rodrigo, Juan Fernando;  Gil, Jorge;  Casanova, Jose Luis
收藏  |  浏览/下载：22/0  |  提交时间：2021/11/19
Forecast tool  Pests  Remote sensing  Soil moisture  
Using Sentinel-1 and Sentinel-2 Time Series for Slangbos Mapping in the Free State Province, South Africa 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2021, 卷号: 13, 期号: 17
作者:  Urban, Marcel;  Schellenberg, Konstantin;  Morgenthal, Theunis;  Dubois, Clemence;  Hirner, Andreas;  Gessner, Ursula;  Mogonong, Buster;  Zhang, Zhenyu;  Baade, Jussi;  Collett, Anneliza;  Schmullius, Christiane
收藏  |  浏览/下载：15/0  |  提交时间：2021/11/29
shrub encroachment  slangbos  land degradation  Earth observation  time series  Sentinel-1  Sentinel-2  Synthetic Aperture Radar (SAR)  Soil Adjusted Vegetation Index (SAVI)  machine learning  
Comparing four machine learning model performances in forecasting the alluvial aquifer level in a semi-arid region 期刊论文
发表期刊: JOURNAL OF AFRICAN EARTH SCIENCES. 出版年: 2021, 卷号: 181
作者:  El Bilali, Ali;  Taleb, Abdeslam;  Brouziyne, Youssef
收藏  |  浏览/下载：14/0  |  提交时间：2021/07/30
Alluvial groundwater  Random forest  Artificial neural network  Support vector regression  Tanobart  Morocco