Titlebook: Environmental Software Systems. Data Science in Action; 13th IFIP WG 5.11 In Ioannis N. Athanasiadis,Steven P. Frysinger,Willem Conference

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書(shū)目名稱(chēng)Environmental Software Systems. Data Science in Action影響因子(影響力)




書(shū)目名稱(chēng)Environmental Software Systems. Data Science in Action影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Environmental Software Systems. Data Science in Action網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱(chēng)Environmental Software Systems. Data Science in Action讀者反饋




書(shū)目名稱(chēng)Environmental Software Systems. Data Science in Action讀者反饋學(xué)科排名

degradation

平項(xiàng)山

Defining and Classifying Infrastructural Contestation: Towards a Synergy Between Anthropology and Dasets with ethnographic knowledge help us, furthermore, to record tendencies and patterns in the ongoing phenomenon of infrastructural contestation (This study is part of infra-demos project (.), which is funded by a VIDI grant awarded by the Dutch Organisation of Science, PI: Prof. Dimitris Dalakog

迫擊炮

Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring,used by cloud cover. Moreover, that year’s extremely dry summer was visible in the time-series pattern as well. The proposed script is a primary version of a processing chain, which is suitable to be further expanded for more advanced data pre-processing and data analysis in the future.

semiskilled

STING

Redefining Agricultural Insurance Services Using Earth Observation Data. The Case of Beacon Projectote sensing techniques implemented in the operational workflow of BEACON that can be used by AgI companies to provide safe and reliable results on storms, floods, wildfires and droughts damage on crops.

STING

Using Virtual Research Environments in Agro-Environmental Research,ution. In the H2020 AGINFRA+?project, the usability of the VREs has been explored for use cases around agro-climatic modelling. The implemented pilot application for crop growth modelling has successfully shown that VREs can support distributed research teams in co-development, helps them to adopt o

加強(qiáng)防衛(wèi)

制度

微枝末節(jié)

Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applicationroughout the paper..The main finding of this paper is there is a major issue of transparency for methods that quantify uncertainty in terms of confidence intervals (frequentist methods). This is primarily because of the difficulty of analysing nominal coverages in common situations. Effectively, thi