We have analysed the specific needs and constrains of quality control of data collection for crop area estimates with area frames and we have proposed a stratified sequential sample design in order to fulfil these needs. Moreover, for cases in which a sequential procedure cannot be adopted directly by the controller, we have proposed a two phase selection procedure with permanent random numbers which allows a very efficient evaluation of the quality of the data collection. We have also showed that the proposed sample designs allow estimating the bias of measurement errors and consequently adopting estimators for correcting the crop area estimates
We have compared area frames square segments, clustered and un-clustered point sampling in order to ...
Accurate and timely crop production information is a critical need in today\u27s economy. During the...
We compared the precision of simple random sampling (SimRS) and seven types of stratified random sam...
We have analysed the specific needs and constrains of quality control of data collection for crop ar...
none2noThe problem of producing agricultural statistics when incomplete or out of date lists are ava...
This article describes and compares three area frame estimators used for agricultural surveys and sh...
The GFSAD30m cropland extent map has been recently produced at a spatial resolution of 30m as a part...
The author has identified the following significant results. Full-frame classifications of wheat and...
Area frame sampling for agricultural statistics is a procedure currently used by the Statistical Rep...
Generation of crop statistics in India dates back to Kautilya’s Arthashastra (an ancient Indian trea...
Agricultural statistics in many developing countries are based on expert opinions (subjective report...
International audienceRemote Sensing Application Centre (RSAC) has been working on monitoring the ma...
AbstractThis paper proposed a spatial sampling method, this method had proved that using stratified ...
The objective of this investigation was to evaluate the effect of sampling on the accuracy (precisio...
This article aims to be a contribution to the improvement of agricultural and environmental off icia...
We have compared area frames square segments, clustered and un-clustered point sampling in order to ...
Accurate and timely crop production information is a critical need in today\u27s economy. During the...
We compared the precision of simple random sampling (SimRS) and seven types of stratified random sam...
We have analysed the specific needs and constrains of quality control of data collection for crop ar...
none2noThe problem of producing agricultural statistics when incomplete or out of date lists are ava...
This article describes and compares three area frame estimators used for agricultural surveys and sh...
The GFSAD30m cropland extent map has been recently produced at a spatial resolution of 30m as a part...
The author has identified the following significant results. Full-frame classifications of wheat and...
Area frame sampling for agricultural statistics is a procedure currently used by the Statistical Rep...
Generation of crop statistics in India dates back to Kautilya’s Arthashastra (an ancient Indian trea...
Agricultural statistics in many developing countries are based on expert opinions (subjective report...
International audienceRemote Sensing Application Centre (RSAC) has been working on monitoring the ma...
AbstractThis paper proposed a spatial sampling method, this method had proved that using stratified ...
The objective of this investigation was to evaluate the effect of sampling on the accuracy (precisio...
This article aims to be a contribution to the improvement of agricultural and environmental off icia...
We have compared area frames square segments, clustered and un-clustered point sampling in order to ...
Accurate and timely crop production information is a critical need in today\u27s economy. During the...
We compared the precision of simple random sampling (SimRS) and seven types of stratified random sam...