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
روابط وملفات
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
MLA