This paper presents an efficient, practical and accurate information system showing how to use some promising new technology. An agricultural information system can be built on objective ground-based data and combined with LANDSAT data to increase the precision of statistics for large areas and also generate local data. The results or statistics produced will be defensible and the accuracy can be stated if care is taken to follow strictly the laws of probability. Resource requirements vary depending on accuracy levels needed. However, the system combines ground-based and LANDSAT data in a flexible manner depending on materials, equipment available, expertise and experience of personnel involved. The construction of an area sampling fra...
This paper describes a comparative study in which a procedure using ground gathered data and classif...
The paper was structured classifying the approaches for the use of remote sensing data for agricultu...
The paper was structured classifying the approaches for the use of remote sensing data for agricultu...
This paper describes an area sampling frame and defines the sampling error and bias of an estimate. ...
This article aims to be a contribution to the improvement of agricultural and environmental off icia...
Statistically sound methods, based on probabilistic samples selected from complete and updated lists...
Statistically sound methods, based on probabilistic samples selected from complete and updated lists...
Statistically sound methods, based on probabilistic samples selected from complete and updated lists...
This paper deals with agricultural inventory parameters from LANDSAT digital data extracted via an i...
: in this article, agricultural data is, in its essence, the most effective weapon for spatial divis...
This paper describes interactive software systems for making agricultural crop acreage estimates usi...
none2noThe need to reduce costs for producing accurate statistics forces countries to increase the e...
Decisions are based on information. Information is the result of an analytical process or system th...
1. Possible ways of using remote sensing data for agricultural statistics Remote sensing plays an im...
This paper describes a comparative study in which a procedure using ground gathered data and classif...
This paper describes a comparative study in which a procedure using ground gathered data and classif...
The paper was structured classifying the approaches for the use of remote sensing data for agricultu...
The paper was structured classifying the approaches for the use of remote sensing data for agricultu...
This paper describes an area sampling frame and defines the sampling error and bias of an estimate. ...
This article aims to be a contribution to the improvement of agricultural and environmental off icia...
Statistically sound methods, based on probabilistic samples selected from complete and updated lists...
Statistically sound methods, based on probabilistic samples selected from complete and updated lists...
Statistically sound methods, based on probabilistic samples selected from complete and updated lists...
This paper deals with agricultural inventory parameters from LANDSAT digital data extracted via an i...
: in this article, agricultural data is, in its essence, the most effective weapon for spatial divis...
This paper describes interactive software systems for making agricultural crop acreage estimates usi...
none2noThe need to reduce costs for producing accurate statistics forces countries to increase the e...
Decisions are based on information. Information is the result of an analytical process or system th...
1. Possible ways of using remote sensing data for agricultural statistics Remote sensing plays an im...
This paper describes a comparative study in which a procedure using ground gathered data and classif...
This paper describes a comparative study in which a procedure using ground gathered data and classif...
The paper was structured classifying the approaches for the use of remote sensing data for agricultu...
The paper was structured classifying the approaches for the use of remote sensing data for agricultu...