Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 6

Liczba wyników na stronie
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników

Wyniki wyszukiwania

help Sortuj według:

help Ogranicz wyniki do:
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
The mainstream of remotely sensed methodology for identifying the tree stand condition is based on spectral responses registered by a multispectral sensor as a digital image. The changes in spectral properties are caused by dying leaves, needles or whole trees. In further steps, the relationship between the spectral values (radiometry) registered in a multispectral satellite image and the health condition of trees should be determined. The most frequent situation includes the one whem dying stand (sensu single tree) occupies the area of <5 m². Therefore the remotely sensed data for determining sanitary conditions of trees must be of a very high spatial resolution (e.g. WorldView2 or 3, GeoEye−1, Pleiades) on one hand and at the same time favourable for the vegetation studies, i.e. utilizing suitable spectral bands and be of low acquisition cost (e.g. RapidEye, LANDSAT−7, ETM +, LANDSAT−8 OLI). Thus a compromise between spatial and spectral resolution should be found to answer the question at what resolution it is possible to clearly separate the damaged tree. The scope of the research included testing of selected methods of satellite image processing and analysis in terms of defining the optimal spatial resolution, which was performed on simulated images obtained for the area of the Beskidy Mountains (S Poland). Pixel size on simulated images was downgraded to the size corresponding to the currently functioning satellite systems. Consequently the obtained material for comparison was free from influence of external factors such as the differences in: time and weather conditions, the geometry of satellite image acquisition, light at the surface of the treetops and phenological vegetation. For each image we used vegetation indices (NDVI and GDVI) and supervised classification. These tests and the obtained results allowed to draw conclusions about the optimal satellite image resolution that can be used to detect damaged or dead stands.
In the frame of EU common agricultural policy, applicant farmers shall receive subsidies for agricultural production. A producer receiving payments is required to meet the basic requirements for the maintenance of all farmland in good agricultural conditions consistence with environmental protection. Since 2009, applicant farmer is obliged to comply with standards adopted by Poland in the so-called cross-compliance requirements. Member States shall determine at the national level for Good Agricultural and Environmental Conditions (GAEC). Compliance with these standards, to maintain good agricultural practice is controlled selectively in the annual inspection campaigns conducted by the Agency for Restructuring and Modernization of Agriculture (ARMA). One of control method is Control with Remote Sensing (CwRS), method that involves the determination in satellite or aerial images boundaries of areas subject to subsidies. Experience in the use of remote sensing, however, indicate the potential for the use of processed satellite or air orthophotomaps not only for cropping delineation but also to verify certain elements of agricultural practices. During the CwRS routine, one could indicate a possible non-compliance issues directly on the image and thereby optimize the process of control. The studies indicated which of the requirements to maintain land in good agricultural conditions might be monitored with CwRS. The results of the series of experiments showed that both kind of aerial and satellite orthophoto can be consider as equivalent materials. Features or phenomenon spread over a large area or occurred point-wise are detectable in image easier than during field inspection. Also wherever access or visibility on the ground is limited due to the morphology complexity, road network, etc., orthophotomap provide better angle of view. Nevertheless, the ratio benefit/cost for managing the entire control on national level should be checked against the efficiency of field control.
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.