A novel GNSS technique for predicting boreal forest attributes at low cost
One of the biggest challenges in forestry research is the effective and accurate measuring
and monitoring of forest variables, as the exploitation potential of forest inventory products
largely depends on the accuracy of estimates and on the cost of data collection. This paper
presented a novel computational method of low-cost forest inventory using global navigation
satellite system (GNSS) signals in a crowdsourcing approach. Statistical features of GNSS
signals were extracted from widely available GNSS devices and were used for predicting …
and monitoring of forest variables, as the exploitation potential of forest inventory products
largely depends on the accuracy of estimates and on the cost of data collection. This paper
presented a novel computational method of low-cost forest inventory using global navigation
satellite system (GNSS) signals in a crowdsourcing approach. Statistical features of GNSS
signals were extracted from widely available GNSS devices and were used for predicting …
A novel GNSS technique for predicting boreal forest attributes at low cost.
LJB Liu JingBin, J Hyyppä, YXW Yu XiaoWei… - 2017 - cabidigitallibrary.org
One of the biggest challenges in forestry research is the effective and accurate measuring
and monitoring of forest variables, as the exploitation potential of forest inventory products
largely depends on the accuracy of estimates and on the cost of data collection. This paper
presented a novel computational method of low-cost forest inventory using global navigation
satellite system (GNSS) signals in a crowdsourcing approach. Statistical features of GNSS
signals were extracted from widely available GNSS devices and were used for predicting …
and monitoring of forest variables, as the exploitation potential of forest inventory products
largely depends on the accuracy of estimates and on the cost of data collection. This paper
presented a novel computational method of low-cost forest inventory using global navigation
satellite system (GNSS) signals in a crowdsourcing approach. Statistical features of GNSS
signals were extracted from widely available GNSS devices and were used for predicting …
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