private void PrepareGameObjects()
{
_gameType = new GameAccountabilityType()
{
Name = "Bowling Game"
};
_scoreUnit = new Unit()
{
Name = "Points"
};
_phenomenonType = new PhenomenonType {
Name = "Score"
};
PrepareLanes();
}
public DeterminingPhenomenonProcessor(LogWriter logger, string[] dataFolders, string resultFolder, GeographicPolygon polygon,
PhenomenonType phenomenon)
{
_logger = logger;
_dataFolders = dataFolders;
_resultFolder = resultFolder;
_phenomenon = phenomenon;
_polygon = polygon;
_pathToCloudMaskTiffFile = $@"{_resultFolder}{FilenamesConstants.PathToCloudMaskTiffFile}";
_pathToCloudMaskPngFile = $@"{_resultFolder}{FilenamesConstants.PathToCloudMaskPngFile}";
_pathToDynamicFile = $@"{_resultFolder}{FilenamesConstants.PathToDynamicFile}";
_pathToEdgedDynamicFile = $@"{_resultFolder}{FilenamesConstants.PathToEdgedDynamicFile}";
_pathToVisibleImage = $@"{_resultFolder}{FilenamesConstants.PathToVisibleImage}";
_pathToVisibleDynamicFile = $@"{_resultFolder}{FilenamesConstants.PathToVisibleDynamicFile}";
_pathToDynamicPointsJson = $@"{_resultFolder}{FilenamesConstants.PathToDynamicGeoPointsJson}";
}
private void DrawChannelsAccordingToPhenomenonType(PhenomenonType phenomenonType
, LandsatDataDescription landsatDescription
, CuttedImageInfo cuttedImageInfo)
{
switch (phenomenonType)
{
case PhenomenonType.ForestPlantationsDeseases:
{
DrawLib.DrawNaturalColor(landsatDescription.Channel4.Normalized
, landsatDescription.Channel3.Normalized
, landsatDescription.Channel2.Normalized,
cuttedImageInfo, _pathToVisibleImage + "4-3-2.png");
DrawLib.DrawNaturalColor(landsatDescription.Channel5.Normalized
, landsatDescription.Channel4.Normalized
, landsatDescription.Channel3.Normalized,
cuttedImageInfo, _pathToVisibleImage + "5-4-3.png");
DrawLib.DrawNaturalColor(landsatDescription.Channel7.Normalized
, landsatDescription.Channel5.Normalized
, landsatDescription.Channel3.Normalized,
cuttedImageInfo, _pathToVisibleImage + "7-5-3.png");
} break;
case PhenomenonType.SoilErosion:
{
DrawLib.DrawNaturalColor(landsatDescription.Channel7.Normalized
, landsatDescription.Channel5.Normalized
, landsatDescription.Channel3.Normalized,
cuttedImageInfo, _pathToVisibleImage + "7-5-3.png");
DrawLib.DrawNaturalColor(landsatDescription.Channel4.Normalized
, landsatDescription.Channel3.Normalized
, landsatDescription.Channel2.Normalized,
cuttedImageInfo, _pathToVisibleImage + "4-3-2.png");
} break;
case PhenomenonType.SoilPollutionByOilProducts:
{
DrawLib.DrawNaturalColor(landsatDescription.Channel4.Normalized
, landsatDescription.Channel3.Normalized
, landsatDescription.Channel2.Normalized,
cuttedImageInfo, _pathToVisibleImage + "4-3-2.png");
} break;
case PhenomenonType.SurfaceDumps:
{
DrawLib.DrawNaturalColor(landsatDescription.Channel4.Normalized
, landsatDescription.Channel3.Normalized
, landsatDescription.Channel2.Normalized,
cuttedImageInfo, _pathToVisibleImage + "4-3-2.png");
} break;
case PhenomenonType.Unknown:
{
DrawLib.DrawNaturalColor(landsatDescription.Channel4.Normalized
, landsatDescription.Channel3.Normalized
, landsatDescription.Channel2.Normalized,
cuttedImageInfo, _pathToVisibleImage + "4-3-2.png");
} break;
}
}
private bool CalculateDynamic(List <TemporaryData> temporaryDatas,
byte[] cloudMask, PhenomenonType phenomenon)
{
_logger.Info($"Сервис обнаружения явления. Статус: определение динамики изменений за {temporaryDatas.Count} лет");
SetTemporaryCuttedBuffers(temporaryDatas);
if (!ValidationHelper.ValidateBuffers(temporaryDatas.Select(datas => datas.Buffers)))
{
return(false);
}
//получаем данные за последнюю временную область
var currentTemporaryBuffers = temporaryDatas.LastOrDefault();
if (currentTemporaryBuffers == null)
{
return(false);
}
//получаем любой снимок за последнюю временную область, чтобы определить результирующие ширину и высоту маски динамики
var currentImageTemporaryDataImage = currentTemporaryBuffers.Buffers.Channels[Landsat8Channel.Channel4];
var width = currentImageTemporaryDataImage.GetLength(1);
var heigth = currentImageTemporaryDataImage.GetLength(0);
var dymanicMask = new byte[width * heigth];
var pastTemporaryDatasBuffers = temporaryDatas.Take(temporaryDatas.Count - 1).ToList();
for (int row = 0; row < heigth; row++)
{
for (int col = 0; col < width; col++)
{
if (!ValidationHelper.ValidatePointByCloudMask(cloudMask, row, col, width))
{
continue;
}
double pastNdvi = Helper.CalculateAverageNdviForPastTemporaryPoint(pastTemporaryDatasBuffers, row, col);
double currentNdvi = Helper.CalculateNdviForCurrentTemporaryPoint(currentTemporaryBuffers, row, col);
double dynamic = -1.0;
//if (phenomenon == PhenomenonType.ForestPlantationsDeseases)
//{
dynamic = pastNdvi >= 0.2 && pastNdvi < 1
? (pastNdvi > currentNdvi
? Math.Abs(currentNdvi - pastNdvi) / currentNdvi
: 0)
: 0;
//}
dymanicMask[row * width + col] = (byte)(dynamic >= 0.3 ? 1 : 0);
}
}
int amountDynamicPoints = dymanicMask.Count(p => p > 0);
//if (amountDynamicPoints < 30)
//{
// _logger.Info($"Сервис обнаружения явления. Статус: динамика измнений обнаружена, но имеет очень слабое воздействие на выбранную область.");
// return false;
//}
_logger.Info($"Сервис обнаружения явления. Статус: отрисовка результатов динамики.");
DrawDynamicResult(dymanicMask, width, heigth);
SaveDynamicGeoPoints();
return(true);
}
