Remote Sensing in Agriculture

Remote Sensing in Agriculture



Anindya Sundar Ray



Remote sensing is defined as the art and science of
gathering information about objects or areas from a distance without
having physical contact with objects/areas being investigated. Remote
sensing is the science and technology of making inferences about
material objects from measurement made at a distance without coming into
physical contact with the object under study. Remote sensing is a tool
to monitor the earth’s resources using space technology in addition to
ground observations. Remote sensing is the science and technology of
making inferences about material objects from measurement made at a
distance without coming into physical contact with the object under
study. Spectral signature of any object that detect by remote sensing is
the main principle. Remote sensing technology uses the visible,
infrared and microwave regions of radiation to collect information about
the various objects on the earth surface. The responses of the objects
of different regions of the electromagnetic spectrum are different. The
typical responses are used to distinguish object such as vegetation,
water, bare soil, concert and other similar features. Remote sensing is
two types viz, active and passive remote sensing. Passive remote
sensing: It makes use of seasons that detects the reflected/emitted
electromagnetic radiation natural sources. Active remote sensing: It
makes the use of seasons that detects reflected responses from object
that are irradiated from artificially generated energy sources, such as
radar. There are three types of platforms-air based, ground based and
satellite based. The various applications of remote sensing in
agriculture are- crop condition monitoring, detection of plant stress,
vegetative indices, canopy transmission and crop stress, cropping system
analysis, application on forestry, drought monitoring and its
assessment, flood mapping and its assessment, ground water exploration,
storm and flood warning, water availability and location of canals,
wildlife inventory and fire surveillance etc. 



10.22161/ijeab/1.3.8



http://ijeab.com/upload_document/issue_files/8%20IJEAB-SEP-2016-3-Remote%20Sensing%20in%20Agriculture.pdf



http://ijeab.com/submit-paper/

Comments

Post a Comment

Popular posts from this blog

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal Abdullahi MG, Roslan U, Kamarudin M. K. A. Artificial light at night and its negative consequences are of great interest in the fields of Ecology, Human Geography Astronomy, and Human Health. Most of the studies to date concentrated on the influences of light pollution has on our ability to view the night sky, on biodiversity, and ecosystems. Though, in recent years, with the use of new technologies sensors, which provide accurate information for determining of night lights at the area, most consideration were given for estimating artificial light at night within the urban areas. In this study, urban night lights within the cities of Nigeria was evaluated by monitoring data from the ground measurements using Sky Quality Meter (SQM-LU-DL) devices. Besides, the SQM was used at the zenith (upward direction) for maximum evaluating of artificial light at the sites. Differences in night sky bri...
Read more

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran Shadi Maleki, Abbas Mafi, Seyedeh Mahsa Hosseini Today, as an essential part and parcel of urban landscape that they play a major role in metabolism and create a lack of serious damage to urban life. This study performed to investigate the willingness of citizens to participate in activities to protect and develop landscapeof Tehran district 4. The research was descriptive and correlation method that is used for collecting information. The statistical population consisted of district 4 of Tehran. The sample size was determined 230 by using Cochrane method. A questionnaire was used to collect data. According to the research, 63.04 percent of citizens showed participation in a high level. Among the variables investigated how citizen participation in conservation and development of landscape, effective strategies to motivate citizens to participate,the reasons for la...
Read more

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin Adimasu Woldesenbet Worako   Land use land cover change (LULCC) is the result of the long time process of natural and anthropogenic activities that has been practiced on the land. GIS and remote sensing are the best tools that support to generate the relevant land use/cover change in the basin. This study was conducted in the Akaki River basin to detect land use land cover changes within the 30 years period (1985-2015) by using landsat imagery data acquired from the GCF. Supervised maximum likelihood algorithm classification were deployed to classify land use/cover into four prominent land use groups and data’s were processed by using ERDAS imagine 2014 and ArcGIS10.1 software. In the basin dominant LULC was agricultural land use which accounts around 56.28% and the second largest is built-up area by 31.51% and the rest, forest(11.9%) and water body(0.31%) coverage were takes t...
Read more