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رسائل ماجيستير الانجليزية 2021 fd7d7d84-6532-49ed-b556-f6318309dfc1

A Multi-platform Comparison of Phenology for Semi-automated Classification of Crops

Matthew McCabe, Sarah Kanee

جامعة الملك عبدالله للعلوم والتقنية · السعودية

الموضوعات

زراعة

الملخص

Remote sensing has enabled unprecedented earth observation fromspace and has proven to be an invaluable tool for agricultural applications andcrop management practices. Here we detect seasonal metrics indicating the startof the season (SOS), the end of the season (EOS) and maximum greenness(MAX) based on vegetation spectral signatures and the normalized differencevegetation index (NDVI) for a time series of Landsat-8, Sentinel-2 andPlanetScope imagery of potato, wheat, watermelon, olive and peach/apricotfields. Seasonal metrics were extracted from NDVI curves and the effect ofdifferent spatial and temporal resolutions was assessed. It was found thatLandsat-8 overestimated SOS and EOS and underestimated MAX due to its lowtemporal resolution, while Sentinel-2 offered the most reliable results overall andwas used to classify the fields in Aljawf. Planet data reported the most preciseSOS and EOS, but proved challenging for the framework because it is not aradiometrically normalized product, contained clouds in its imagery, and wasdifficult to process because of its large volume. The results demonstrate that abalance between the spatial and temporal resolution of a satellite is important forcrop monitoring and classification and that ultimately, monitoring vegetationdynamics via remote sensing enables efficient and data-driven management ofagricultural system

التعريف والنوع

رقم الوثيقة
fd7d7d84-6532-49ed-b556-f6318309dfc1
رقم العقد
0
نوع الوسائط
Crawler
نوع المحتوى
الرسائل العلمية
صيغة المصدر
رسائل ماجيستير
نوع الملف
pdf text
أسماء الملفات
2020964_1.pdf

بيانات النشر

ألقاب المؤلفين
[{"name_ar":"Matthew McCabe","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Sarah Kanee","title_ar":"اعداد","title_en":"Preparation"}]
اللغة
English

المصدر والدورية

اسم المصدر
A Multi-platform Comparison of Phenology for Semi-automated Classification of Crops

المحتوى والصفحات

عدد الصفحات
0

إشراف وإعداد

الإشراف
Matthew McCabe
الإعداد
Sarah Kanee

الاقتباسات الببليوغرافية

APA

Matthew McCabe و Sarah Kanee. (2021). A Multi-platform Comparison of Phenology for Semi-automated Classification of Crops. أطروحة(رسائل ماجيستير). جامعة الملك عبدالله للعلوم والتقنية. السعودية.

MLA

Matthew McCabe و Sarah Kanee. A Multi-platform Comparison of Phenology for Semi-automated Classification of Crops. 2021. جامعة الملك عبدالله للعلوم والتقنية، رسائل ماجيستير.