Spectral is the result of the interaction between electromagnetic energy (EM) with an object. objects on the earth's surface has different charasteristics with each other (typical) .There object HAVE high absorption and low reflectivity, otherwise there is an object that has a low absorption and high reflectance and spectral characteristics of the resulting by electromagnetic energy in the form of objects or otherwise with hue and color.
The interaction energy with the object or objects in accordance with the principle of conservation of energy, then there are three interaction when power on to an object, that is reflected, absorbed and transmitted / transmitted. The interrelationship between the three interaction length is a function of the reflected electromagnetic gelombang.Gelombang, transmitted, or scattered objects which carry the information of the object. Specifically, the visible region to the near infrared region is reflected by various objects, thermal infrared regions would transmitting object, and there are areas of reflecting microwaves or electromagnetic waves coming scatter about it
Each object has its own characteristics in absorbing and reflecting power received by him. This characteristic is called spectral characteristics that are generally described by the reflection curve
The interaction energy with the object or objects in accordance with the principle of conservation of energy, then there are three interaction when power on to an object, that is reflected, absorbed and transmitted / transmitted. The interrelationship between the three interaction length is a function of the reflected electromagnetic gelombang.Gelombang, transmitted, or scattered objects which carry the information of the object. Specifically, the visible region to the near infrared region is reflected by various objects, thermal infrared regions would transmitting object, and there are areas of reflecting microwaves or electromagnetic waves coming scatter about it
Each object has its own characteristics in absorbing and reflecting power received by him. This characteristic is called spectral characteristics that are generally described by the reflection curve
Spectral pattern of the object can be the basis for recognizing objects in images. Broadly speaking, we can say that:
Clear water tends to give a lower reflectance than the murky water at all wavelengths.
Vegetation provides a very low reflectance in the blue spectrum increases somewhat higher in the green spectrum (hence the leaves appear green human eyes), decreased again in the red spectrum (due to strong absorption in the leaf pigment), and increased greatly in the near infrared spectrum, as result of reflection by the space between cells in tissues spongi daun.Vegetasi lower back gives reflection on the middle infrared channels I and II because infrared moisture content (humidity) is high.
Relatively coarse textured soils (sandy) / relatively moist provide reflections that are likely to rise from the blue to the near infrared spectrum, then a little down in the middle infrared spectrum I and II due to the influence of moisture absorption by the soil. Relatively fine-textured soils or that berona bright field and a very thin tend to give high reflection on all spectra.
Dry foliage will provide reflections that should increase with increasing wavelength
Dry foliage will provide reflections that continue to increase along with increasing wavelength. However these symptoms tend ideal in the laboratory, while the combination of various factors on the field sometimes obscure theoretical pattern of this kind.
Lillesand and Kiefer (1994) and also Sutanto (1986) mention the 8 elements of interpretation that is in use is convergent to recognize an existing object in the image, the eighth element is the color / hue, shape, size, shadow, texture, pattern, website and associations. Among the eight elements, color / hue is the most dominant and directly affect the user's image in the start interpretation. Actually all the elements of this interpretation can be grouped into three levels in the pyramid elements of interpretation. At the bottom level are elementary elements that can easily be recognized in the image, the color / hue, shape, and shadow. At the next level is the size, texture and pattern, which requires a deeper understanding of the configuration of objects in space. At the top level there are sites and associations, which are elements of the main identifier and is often a key factor in interpretation, but also the most difficult to describe.
Spectral region include: blue, green, red and near infrared or B, H, M and IMD, each spectral have different uses
Spectral uses BLUE transparent to water, can be for mapping water, beaches, soil mapping, vegetation mapping, forestry mapping and identifying human cultivation.
Green uses spectral reflectance value measurement under on the green shoots of plants and interpretive activities, also for observation of the appearance of human cultivation.
Spectral Red usefulness is made to see the area that absorbs chlorophyll, which can be used to assist in the separation of plant species also for the observation of human cultivation
Spectral Infrared usefulness near to distinguish the type of activity and the content of the biogas plant to limit water bodies and soil moisture separation
Clear water tends to give a lower reflectance than the murky water at all wavelengths.
Vegetation provides a very low reflectance in the blue spectrum increases somewhat higher in the green spectrum (hence the leaves appear green human eyes), decreased again in the red spectrum (due to strong absorption in the leaf pigment), and increased greatly in the near infrared spectrum, as result of reflection by the space between cells in tissues spongi daun.Vegetasi lower back gives reflection on the middle infrared channels I and II because infrared moisture content (humidity) is high.
Relatively coarse textured soils (sandy) / relatively moist provide reflections that are likely to rise from the blue to the near infrared spectrum, then a little down in the middle infrared spectrum I and II due to the influence of moisture absorption by the soil. Relatively fine-textured soils or that berona bright field and a very thin tend to give high reflection on all spectra.
Dry foliage will provide reflections that should increase with increasing wavelength
Dry foliage will provide reflections that continue to increase along with increasing wavelength. However these symptoms tend ideal in the laboratory, while the combination of various factors on the field sometimes obscure theoretical pattern of this kind.
Lillesand and Kiefer (1994) and also Sutanto (1986) mention the 8 elements of interpretation that is in use is convergent to recognize an existing object in the image, the eighth element is the color / hue, shape, size, shadow, texture, pattern, website and associations. Among the eight elements, color / hue is the most dominant and directly affect the user's image in the start interpretation. Actually all the elements of this interpretation can be grouped into three levels in the pyramid elements of interpretation. At the bottom level are elementary elements that can easily be recognized in the image, the color / hue, shape, and shadow. At the next level is the size, texture and pattern, which requires a deeper understanding of the configuration of objects in space. At the top level there are sites and associations, which are elements of the main identifier and is often a key factor in interpretation, but also the most difficult to describe.
Spectral region include: blue, green, red and near infrared or B, H, M and IMD, each spectral have different uses
Spectral uses BLUE transparent to water, can be for mapping water, beaches, soil mapping, vegetation mapping, forestry mapping and identifying human cultivation.
Green uses spectral reflectance value measurement under on the green shoots of plants and interpretive activities, also for observation of the appearance of human cultivation.
Spectral Red usefulness is made to see the area that absorbs chlorophyll, which can be used to assist in the separation of plant species also for the observation of human cultivation
Spectral Infrared usefulness near to distinguish the type of activity and the content of the biogas plant to limit water bodies and soil moisture separation