کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6292632 | 1617129 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Assessing the functional signature of heathland landscapes via hyperspectral remote sensing
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
بوم شناسی، تکامل، رفتار و سامانه شناسی
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چکیده انگلیسی
We found clear differences in the CSR signatures of different parts of the investigated area. We think that similar differences in time can also be assessed using the same approach. This could provide a simple but powerful expression of the state of vegetation that would be comparable across regions and time. We therefore assume that the method is suitable for comparative studies with a focus on vegetation functioning. While it does not explicitly take into account differences in species composition, it can also work as an early warning system with follow-up investigations in areas subjected to change.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Indicators - Volume 73, February 2017, Pages 505-512
Journal: Ecological Indicators - Volume 73, February 2017, Pages 505-512
نویسندگان
Johannes Schmidt, Fabian Ewald Fassnacht, Angela Lausch, Sebastian Schmidtlein,