Essays about: "Vegetation Indices"

Showing result 1 - 5 of 47 essays containing the words Vegetation Indices.

  1. 1. Assessing annual forest phenology: a comparison of Unmanned Aerial Vehicle (UAV) and phenocamera datasets

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shangharsha Thapa; [2020]
    Keywords : Geography; Ecosystem Analysis; Near-surface Remote Sensing; UAV; Phenocamera; Forest Phenology; Phenophase; Seasonality; NDVI; GCC; Geomatics; Earth and Environmental Sciences;

    Abstract : Near-surface remote sensing platforms such as Unmanned Aerial Vehicles (UAVs) and phenocameras appear to be potential platforms for keeping track of seasonal dynamics at a local scale. This research focusses on extracting time series of different vegetation indices (VIs) from both platforms, computing seasonality events from them and comparing the results against spectral sensor data. READ MORE

  2. 2. Linking Jet Stream Variability and the NAO to the Terrestrial Carbon Cycle in Europe

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Emma Rosengren; [2020]
    Keywords : Terrestrial; Carbon Cycle; Jet Latitude; Jet Speed; NAO; NDVI; Jordbunden; Kolcykel; Jetlatitud; Jethastighet; NAO; NDVI;

    Abstract : The terrestrial carbon cycle is a part of the global carbon cycle, where one important component is the terrestrial vegetation. Terrestrial vegetation largely controls the land surface carbon exchanges and leverage the atmospheric greenhouse gas concentrations, significantly affecting the trajectory of global warming. READ MORE

  3. 3. Ashish Vivekar (2020) Evaluation of methodology for estimating crop yield from multispectral UAV images : a case study at Lönnstorp, Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Ashish Vivekar; [2020]
    Keywords : Physical Geography and Ecosystem analysis; Multispectral Sensor; Radiometric Correction; Reflection calibration; Phenology; GEM; Earth and Environmental Sciences;

    Abstract : Adaptation of modern Unmanned Aerial Vehicle (UAV) and multispectral sensor technology in agriculture can enhance the capacity to accurately monitor crops. But these technologies come with its own set of challenges. READ MORE

  4. 4. Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shuo Yang; [2019]
    Keywords : Physical Geography and Ecosystem Analysis; Remote Sensing; Bark Beetle; Insect Detection; Sentinel-2; Forest Health; Maximum Likelihood; Random Forest; Spectral Signature; Vegetation Indices; Earth and Environmental Sciences;

    Abstract : The European spruce bark beetle is considered as one of the most destructive forest insects to Norway spruce trees in Europe. Climate change may increase the frequency and intensity of bark beetle outbreaks. It is therefore of vital importance to detect the bark beetle outbreaks and take it under control to prevent further damages. READ MORE

  5. 5. Vegetation phenology derived using the plant phenology index and the normalized difference vegetation index for the Balkan peninsula, south-eastern Europe

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Aleksandra Ivanova; [2019]
    Keywords : physical geography; ecosystem analysis; phenology; vegetation; climate change; remote sensing; plant phenology index; PPI; timesat; Balkan peninsula; Earth and Environmental Sciences;

    Abstract : This study analyses the performance of the satellite derived Plant Phenology Index (PPI) against the Normalized Difference Vegetation Index (NDVI) for estimating start of season (SOS) and end of season (EOS) of vegetation growth in part of the Balkan Peninsula, Southeastern Europe (2000 – 2016). Results revealed that PPI and NDVI differ considerably; SOS and EOS may diverge by more than one month between the two indices. READ MORE