Arid

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Predicting suitable breeding areas for different locust species - A multi-scale approach accounting for environmental conditions and current land cover situation 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 出版年: 2022, 卷号: 107
作者:  Klein, Igor;  van der Woude, Sietse;  Schwarzenbacher, Frederic;  Muratova, Nadiya;  Slagter, Bart;  Malakhov, Dmitry;  Oppelt, Natascha;  Kuenzer, Claudia
收藏  |  浏览/下载:13/0  |  提交时间:2022/03/17
Locust breeding habitat  Incubation of egg-pods  Ecological niche model  Habitat suitability index  Locust monitoring  Remote sensing  Sentinel-2  
Dynamic Forecast of Desert Locust Presence Using Machine Learning with a Multivariate Time Lag Sliding Window Technique 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 3
作者:  Sun, Ruiqi;  Huang, Wenjiang;  Dong, Yingying;  Zhao, Longlong;  Zhang, Biyao;  Ma, Huiqin;  Geng, Yun;  Ruan, Chao;  Xing, Naichen;  Chen, Xidong;  Li, Xueling
收藏  |  浏览/下载:27/0  |  提交时间:2022/03/17
desert locust  environmental indicator  dynamic forecast  machine learning  time lag  
Seeing the locust in the swarm: accounting for spatiotemporal hierarchy improves ecological models of insect populations 期刊论文
发表期刊: ECOGRAPHY. 出版年: 2022, 卷号: 2022, 期号: 2
作者:  Lawton, Douglas;  Scarth, Peter;  Deveson, Edward;  Piou, Cyril;  Spessa, Allan;  Waters, Cathy;  Cease, Arianne J.
收藏  |  浏览/下载:14/0  |  提交时间:2022/03/17
grasshoppers  hierarchical generalized additive models  hierarchical patch dynamics  insect outbreaks  remote sensing  
Integrating Remote Sensing and Machine Learning for Regional-Scale Habitat Mapping: Advances and Future Challenges for Desert Locust Monitoring 期刊论文
发表期刊: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. 出版年: 2021
作者:  Rhodes, Kristen;  Sagan, Vasit
收藏  |  浏览/下载:27/0  |  提交时间:2022/02/12
Remote sensing  Data models  Biological system modeling  Predictive models  Machine learning  Vegetation mapping  Temperature measurement  
Application of Remote Sensing Data for Locust Research and Management-A Review 期刊论文
发表期刊: INSECTS. 出版年: 2021, 卷号: 12, 期号: 3
作者:  Klein, Igor;  Oppelt, Natascha;  Kuenzer, Claudia
收藏  |  浏览/下载:5/0  |  提交时间:2021/07/30
locust monitoring  locust outbreak  remote sensing  locust habitat  locust pest  
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  
Contribution of Epigenetic Mechanisms in the Regulation of Environmentally-Induced Polyphenism in Insects 期刊论文
发表期刊: INSECTS. 出版年: 2021, 卷号: 12, 期号: 7
作者:  Richard, Gautier;  Jaquiery, Julie;  Le Trionnaire, Gael
收藏  |  浏览/下载:16/0  |  提交时间:2021/11/19
seasonal  dispersal and caste polyphenism  chromatin  DNA methylation  histone post-translational modifications  non-coding RNAs  
A general model of the thermal constraints on the world's most destructive locust, Schistocerca gregaria 期刊论文
发表期刊: ECOLOGICAL APPLICATIONS. 出版年: 2021, 卷号: 31, 期号: 4
作者:  Maeno, Koutaro Ould;  Piou, Cyril;  Kearney, Michael R.;  Ould Ely, Sidi;  Ould Mohamed, Sid'Ahmed;  Jaavar, Mohamed El Hacen;  Ould Babah Ebbe, Mohamed Abdallahi
收藏  |  浏览/下载:6/0  |  提交时间:2021/07/30
body temperature  desert locust  general biophysical model  NicheMapR  thermal infrared camera  thermoregulatory behaviors  
The potential habitat of desert locusts is contracting: predictions under climate change scenarios 期刊论文
发表期刊: PEERJ. 出版年: 2021, 卷号: 9
作者:  Guan, Jingyun;  Li, Moyan;  Ju, Xifeng;  Lin, Jun;  Wu, Jianguo;  Zheng, Jianghua
收藏  |  浏览/下载:13/0  |  提交时间:2021/11/29
Potential habitat  Shared socioeconomic pathways  Climate change  Maximum entropy  Desert locust  
蝗虫遥感监测预警研究现状与展望 期刊论文
发表期刊: 遥感学报. 出版年: 2020, 卷号: 24, 期号: 10, 页码: 1270-1279
作者:  黄文江;  董莹莹;  赵龙龙;  耿芸;  阮超;  张弼尧;  孙忠祥;  张寒苏;  叶回春;  王昆
收藏  |  浏览/下载:2/0  |  提交时间:2021/08/05
locust  remote sensing  monitoring  early warning  platform