Essays about: "importance of remote sensing"
Showing result 6 - 10 of 56 essays containing the words importance of remote sensing.
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6. Glacier front variatons in Sweden: 2015-2022
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : This study aims at increasing the amount of data available on recent past Swedish glacier front variations, at improving the knowledge on the present behavior of these glaciers, and at contributing to the defnition of the guideline for future of glacier front observations in Sweden. To do so, the study proposes Sentinel-2 based yearly front variation measurements for 22 Swedish glaciers between 2015 and 2022, calculated based on the multicentreline approach of the MaQiT tool. READ MORE
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7. A comparison of remote sensed semi-arid grassland vegetation anomalies detected using MODIS and Sentinel-3, with anomalies in ground-based eddy covariance flux measurements.
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Remote sensed vegetation biophysical indicators are derived from various sensors and methods and contribute to the quantification of vegetation growth. They are used as inputs to early warning systems for crop yield estimation, thus improving crop management and food security. READ MORE
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8. Evaluating the impact of agriculture on albedo using Sentinel-2 data in southern Sweden
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : The climate impact of food production plays a big part in the anthropogenic climate impact. Mitigation strategies from this sector are hence of great importance. One area which mainly has been used to calculate climate impact is albedo, the overall reflectance of incoming radiation in all directions. READ MORE
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9. Importance of Snow in Alpine Plant Ecology : And Remote Sensing Applications in Species Modeling
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : Global warming, with pronounced increases toward the poles and high latitudes, has impacts on alpine vegetation. If snow patterns change in response to global warming, snow parameters are predictors of interest in alpine plant species distribution and traits modeling because snow is known to strongly control the local growing conditions of alpine plants. READ MORE
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10. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. READ MORE
