Sökning: "Jordsystemet"

Hittade 3 avhandlingar innehållade ordet Jordsystemet.

  1. 1. Seeing and Knowing the Earth as a System : An Effective History of Global Environmental Change Research as Scientific and Political Practice

    Författare :Ola Uhrqvist; Eva Lövbrand; Bjön-Ola Linnér; Sabine Höhler; Linköpings universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Earth system; Global change; Governmentality; History of the present; history of environmental science; Jordsystemet; Globala miljöförändringar; Governmentality; nuets historia; miljövetenskapernas historia; internationella forskningsprogram; miljöpolitik;

    Sammanfattning : Previous research connecting scientific knowledge production with governing of the global environment usually start in international climate change negotiations and related assessments. From that vantage point Earth system science and models are studied as an expansion of Global Circulation Models. LÄS MER

  3. 2. European ecosystems on a changing planet : Integrating climate change and land-use intensity data

    Författare :Jan Hendrik Blanke; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; LPJ-GUESS; land-use intensity; climate change; carbon; nitrogen; ecosystem functions; trade-offs; vegetation;

    Sammanfattning : Dynamic global vegetation models are mathematical models that provide a bottom-up description of plant communities. They explicitly model physiological and population-level processes such as growth, photosynthesis, carbon allocation, regeneration and mortality. LÄS MER

  4. 3. Supervised and Unsupervised Deep Learning Models for Flood Detection

    Författare :Ritu Yadav; Yifang Ban; Andrea Nascetti; Nicolas Audebert; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Floods; Remote Sensing; Sentinel-1 SAR; Segmentation; Change Detection; DEM; Data Fusion; Time Series; Deep Learning; Unsupervised Learning; Contrastive Learning; Self-Attention; Convolutional LSTM; Variational AutoEncoder VAE ; Geoinformatik; Geoinformatics;

    Sammanfattning : Human civilization has an increasingly powerful influence on the earthsystem. Affected by climate change and land-use change, floods are occurringacross the globe and are expected to increase in the coming years. Currentsituations urge more focus on efficient monitoring of floods and detecting impactedareas. LÄS MER