6 results about "Forestry" patented technology

The application provides a drought propagation analysis method and system considering multi-dimensional characteristics of drought events. The method comprises the following steps: calculating a drought duration propagation index based on a meteorological drought total duration and an agricultural drought total duration; calculating a drought intensity propagation index based on meteorological drought intensities of previous meteorological drought events and agricultural drought intensities of previous agricultural drought events; calculating a drought intensity trend propagation index based on meteorological drought intensity trends of previous meteorological drought events and agricultural drought intensity trends of previous agricultural drought events; calculating a drought fluctuation propagation index based on meteorological drought index fluctuation rates of previous meteorological drought events and agricultural drought index fluctuation rates of previous agricultural drought events; calculating a drought probability propagation index based on a meteorological drought occurrence probability and an agricultural drought occurrence probability of a target region within a given time period; and constructing a comprehensive drought propagation index by using a CRITIC objective weighting method. The application can accurately describe the propagation process between meteorological drought and agricultural drought.

The invention provides a planting industry structure adjustment method and device based on climatic year and risk assessment, and a storage medium. The method comprises the following steps: estimating estimated meteorological data, estimated crop yield data and estimated cultivated land data corresponding to each grid region in a target year; carrying out grain production key climate factor identification to obtain a meteorological yield and a meteorological factor influence coefficient, and carrying out climate year type division to obtain a climate year type division result; determining the risk degree of the annual specified crops; determining the suitability grade index of the specified crop in each grid area; determining a suitable grade area of the specified crop; an adjustment result of the planting structure in the target year is determined, the constraint condition comprises a suitable grade area, and the adjustment result comprises an optimal planting area of the specified crop in the specified region; therefore, the accuracy of structure adjustment in the planting industry is improved.

An object of the system according to the embodiment is to enable even a person who does not have knowledge about agriculture to identify characteristics of land, diseases of plants, and pests, and to realize stable production of agricultural crops in response to climate change.SOLUTION: A system includes a climate data analysis part, an image analysis part, a land characteristic analysis part, and a harvest prediction part. The climate data analyzer analyzes the climate data. The image analysis part specifies the disease and the harmful insect of the plant based on the weather data analyzed by the weather data analysis part. The land characteristic analysis unit analyzes the characteristics of the land based on the disease or pest of the plant specified by the image analysis unit. The harvest prediction unit predicts a harvest period and a harvest amount of the crop based on the property of the land analyzed by the land property analysis unit.SELECTED DRAWING: Figure 1

The invention discloses an arbor, shrub and grass mixed pixel vegetation index time series data decomposition method. The method comprises the following steps: acquiring coarse resolution mixed pixel vegetation index time series data, high resolution vegetation index time series data and arbor, shrub and grass distribution data of a target vegetation community; counting the green degrees of trees, shrubs and grass and the fluctuation range of the difference between the trees, shrubs and grass based on the high-resolution data to form a decomposition time constraint condition; embedding a time constraint condition in the linear mixed model, and resolving a vegetation index reference time sequence of the arbor, shrub and grass end members in the target area; and allocating a residual error obtained by weighted summation of the mixed pixel vegetation index and the arbor, shrub and grass reference value according to the area proportion and pixel-oriented and time sequence adjustment weight to arbor, shrub and grass. According to the method, the vegetation index time series data of the mixed pixels can be decomposed into the sub-pixel-level arbor-shrub-grass vegetation index time series data, the decomposition result is reliable, the community mobility is good, and effective technical support can be provided for sub-pixel-level vegetation refined monitoring.

A blockchain system is disclosed for tracking and exchanging carbon credits between providers and acquirers. The blockchain system can be a closed-loop gateway that exchanges tracked tokens from an original carbon credit provider through subsequent acquirers. Additionally, future projected carbon credits can be generated and / or verified.

The invention relates to the technical field of vegetation coverage measurement, in particular to a vegetation coverage measurement system and method based on unmanned aerial vehicle remote sensing. According to the method, the measurement image of the road surface is identified through the first coverage measurement model, the area with plant fallen leaves is obtained, the road surface fallen leaf coverage is obtained through calculation, and the road surface fallen leaf sweeping index is obtained by combining multiple influence factors; the vegetation coverage of the road is recognized through a second coverage measurement model, and the vegetation coverage area in the green belt and the vegetation coverage area outside the green belt are obtained by means of image comparison of the contour of the green belt; and starting from a proportional relation among the road vegetation coverage, the green belt vegetation coverage and the road surface vegetation coverage, calculating to obtain a growth state index of green belt vegetation. According to the method, the vegetation coverage of each region of the road is identified, so that the road greening vegetation is effectively supervised, and managers are assisted to make decision analysis.