Essays about: "Vegetation Indices"

Showing result 1 - 5 of 43 essays containing the words Vegetation Indices.

  1. 1. 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

  2. 2. 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

  3. 3. Analysing the vegetation condition during the 2017 and 2018 growing seasons using indices derived from Sentinel-2 data : a case study over southern Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Camilla Persson; [2019]
    Keywords : Physical Geography and Ecosystem analysis; remote sensing; vegetation indices; drought; Geomatics; Earth and Environmental Sciences;

    Abstract : The summer of 2017 was climatically close to normal in southern Sweden, whereas the following summer was unusually warm and dry. These two years therefore make an interesting case study for investigating the impact of severe drought on vegetation, particularly when considering that climate change is predicted to lead to an increased frequency of drought events in the study area. READ MORE

  4. 4. PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping

    University essay from SLU/Department of Plant Breeding (from 130101)

    Author : Alexander Koc; [2017]
    Keywords : hyperspectral data; high throughput phenotyping; R programming; bioinformatics;

    Abstract : Hyperspectral phenotyping is a promising high-throughput plant phenotyping method that addresses the phenotyping bottleneck, in fields of plant science like crop improvement or study of plant diseases. However, high-throughput hyperspectral data poses a data management and analysis problem due to the sheer volume of data generated in the data collection process. READ MORE

  5. 5. Comparison of multi-temporal and multispectral Sentinel-2 and Unmanned Aerial Vehicle imagery for crop type mapping

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Stephania Zabala Ramos; [2017]
    Keywords : classification; Random Forest; precision agriculture; UAV; remote sensing; Micasense; GEM; Earth and Environmental Sciences;

    Abstract : Precision Agriculture aims to maximize crop production and the efficiency of land use to meet the increased demand for food while minimizing environmental impact and economic cost of food production. Crop type maps are needed for Precision Agriculture applications and remote sensing techniques are an efficient way to produce this information. READ MORE