1、质量控制:小于0的辐亮度值设置为很小的正值;
2、3fld和sfld:限制找OA位置的窗口到759-761nm; 3、3fld和sfld:限制找OA位置的数据的时间 → 早上10点到下午3点;
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@ -6,11 +6,16 @@ def cal_inside_bands_ave(data):
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'''
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根据多个光谱找出窗口内数据最低点对应波长
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'''
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sky_spec = data.sky
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veg_spec = data.veg
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wvl_inside_band_l = np.mean(veg_spec.idxmin(dim='Wavelength')).values
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wvl_inside_band_e = np.mean(sky_spec.idxmin(dim='Wavelength')).values
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return[wvl_inside_band_l,wvl_inside_band_e]
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sky_spec = data.sky.to_pandas().between_time('10:00:00', '15:00:00')
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veg_spec = data.veg.to_pandas().between_time('10:00:00', '15:00:00')
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sky_idxmin = sky_spec.idxmin(axis=1)
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veg_idxmin = veg_spec.idxmin(axis=1)
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wvl_inside_band_l = veg_idxmin.mean()
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wvl_inside_band_e = sky_idxmin.mean()
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return[wvl_inside_band_l, wvl_inside_band_e]
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def cal_outside_values_mean(data,outer):
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'''
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@ -38,7 +43,9 @@ def sfld(data,wl_range,outer):
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nmeas_ = data.Measures.size
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data = data.where((data.Wavelength>wl_range[0])&(data.Wavelength<wl_range[1]),drop=True)
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[wvl_inside_band_l,wvl_inside_band_e]=cal_inside_bands_ave(data)
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data2 = data.where((data.Wavelength > outer[1]) & (data.Wavelength < outer[1] + 3), drop=True)
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[wvl_inside_band_l,wvl_inside_band_e]=cal_inside_bands_ave(data2)
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for i in range(0,nmeas_):
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_data = data.isel(Measures=i)
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veg_out,sky_out,_ = cal_outside_values_mean(_data,outer)
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@ -67,7 +74,9 @@ def fld3(data,wl_range,outer_left,outer_right):
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nmeas_ = data.Measures.size
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data = data.where((data.Wavelength>wl_range[0])&(data.Wavelength<wl_range[1]),drop=True)
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[wvl_inside_band_l,wvl_inside_band_e]=cal_inside_bands_ave(data)
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data2 = data.where((data.Wavelength > outer_left[1]) & (data.Wavelength < outer_right[0]), drop=True)
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[wvl_inside_band_l,wvl_inside_band_e]=cal_inside_bands_ave(data2) # 应该局限到759-761
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for i in range(0,nmeas_):
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_data = data.isel(Measures=i)
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veg_out_left,sky_out_left,wvl_outer_left = cal_outside_values_mean(_data,outer_left)
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